(→‎The ChangeLog)
 
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== The ChangeLog ==
 
== The ChangeLog ==
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[[User:KyoHyouk|KyoHyouk Kim]]
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[[User:kim458|KyoHyouk Kim]]
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* 2008/04/07 -- Add links for clustering techniques
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* 2008/04/25  -- Addeda pattern recognition application field in remote sensing
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* 2008/04/07 -- Add figure of impurity function on Lecture 21
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[[User:arora6|Abhishek Arora]]
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[[User:akamra|Ashish Kamra]]
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* 2008/04/07 -- Moved the page and converted all equations and uploaded figures [[SVM-2D_OldKiwi]]
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* 2008/04/20  -- Added description of the k-centers clustering problem [[Clustering_Algorithms_OldKiwi]]
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* 2008/04/07 -- Moved the page [[Bayes Example_OldKiwi]]
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* 2008/04/20  -- Added link to past conferences on application of machine learning techniques to anomaly detection [[Applications_of_Pattern_Recognition_OldKiwi]]
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* 2008/04/28  -- Added link to an excellent survey paper on outlier detection methodologies [[Applications_of_Pattern_Recognition_OldKiwi]]
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* 2008/04/28  -- Added link to an application of one class classification in anomaly detection [[Applications_of_Pattern_Recognition_OldKiwi]]
  
 
[[User:Bsisman|Bunyamin Sisman]]
 
[[User:Bsisman|Bunyamin Sisman]]
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* 2008/04/06 -- Added some explanations and a figure to lecture 22 for clustering.
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* 2008/04/24  -- Added a page with some figures for [https://balthier.ecn.purdue.edu/index.php/Mixture_Models Mixture Models] to Glossary
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* 2008/04/06 -- Introduced different kinds of clustering algorithms and a simple example with a figure for image segmentation and compression using k-means algorithm in lecture 22.
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* 2008/04/13 -- Added some explanations, links and a animated gif for Minimum spanning tree algorithms to lecture 24.
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* 2008/04/16 -- Added some explanations to Farthest Neighbor Algorithm.
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[[User:wlunga|Dalton Lunga]]
 
[[User:wlunga|Dalton Lunga]]
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* 2008/04/01 -- Added the topic: [[Graphical models_OldKiwi]] and gave a description of how these models link to decision trees.
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* 2008/04/17  -- Added last part of Lecture on 26 [[Statistical Clustering Methods_OldKiwi]]
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* 2008/04/08 -- Added partial class notes for Lecture 23 - [[Spanning Trees‎_OldKiwi]] [[Graphical Clustering Methods_OldKiwi]]
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* 2008/04/24 -- Added more notes on clustering algorithms
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* 2008/04/08 -- Added partial class notes for Lecture 23 - [[Spanning Trees‎_OldKiwi]] [[Graph Theory Clustering_OldKiwi]]
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* 2008/04/24 -- Added link to clustering paper(Clustering Sequences with HMM)[[Clustering Sequences_OldKiwi]]
  
 
[[User:ebernard|Elvin Bernard]]
 
[[User:ebernard|Elvin Bernard]]
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* 2008/04/07 -- Created new pages for the [[Glossary_OldKiwi]] items: [[Distance_OldKiwi]], [[Metric_OldKiwi]], [[Generic Property_OldKiwi]], [[Hilbert Space_OldKiwi]], [[Histogram Density Estimation_OldKiwi]], [[Impurity_OldKiwi]], [[Informative Prior_OldKiwi]], [[Kernel Functions_OldKiwi]], [[Lagrange Multipliers_OldKiwi]], [[LUT - Look-Up Table_OldKiwi]].
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* 2008/04/24 -- Created new pages or moved old pages for the [[Glossary_OldKiwi]] items: [[Euclidean Distance (ED)_OldKiwi]], [[Generalized Rayleigh Quotient_OldKiwi]], [[KNN-K Nearest Neighbor_OldKiwi]], [[Partial Differential Equations (PDE)_OldKiwi]], [[Prior_OldKiwi]], [[Pruning_OldKiwi]], [[Quadratic Programming Problem_OldKiwi]], [[Reinforcement learning_OldKiwi]], [[Slack Variable_OldKiwi]], [[Taxicab Distance_OldKiwi]], [[Testing_OldKiwi]], [[Training_OldKiwi]], [[Unbiased Estimator_OldKiwi]], [[Uninformative Prior_OldKiwi]], [[Unsupervised learning_OldKiwi]].
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* 2008/04/17 -- Moved old pages and/or created new pages for the [[Glossary_OldKiwi]] items: [[Likelihood Principle_OldKiwi]], [[Linear Discriminant Functions (LDF)_OldKiwi]], [[Manhattan Distance_OldKiwi]], [[Minkowski Metric_OldKiwi]], [[MLE_OldKiwi]], [[Nonparametric regression/density estimation_OldKiwi]], [[Non-parametric Model_OldKiwi]], [[Overfitting_OldKiwi]], [[Parameter Estimation_OldKiwi]], [[Parametric Model_OldKiwi]], [[Patterns_OldKiwi]], [[Parzen Window_OldKiwi]], [[Penalty Methods_OldKiwi]], [[Posterior_OldKiwi]], [[Principal Component Analysis_OldKiwi]].
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[[User:zhu0|Fengqing Zhu]]
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* 2008/04/07 -- Added resources to Content-based Image/video Retrieval in [[Image Processing_OldKiwi]]
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* 2008/04/07 -- Added references to [[Decision Tree_OldKiwi]]
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[[User:gsrivast|Gaurav Srivastava]]
 
[[User:gsrivast|Gaurav Srivastava]]
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* 2008/04/02 -- Edited [[Lecture 21 - Decision Trees(Continued)_OldKiwi]]. Added the description of answering the three crucial questions and added two figures Node.jpg[http://balthier.ecn.purdue.edu/index.php/Image:Node.jpg] and Balance.jpg[http://balthier.ecn.purdue.edu/index.php/Image:Balance.jpg].
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* 2008/04/18 -- This posting is for week 14. Previous posting is for week 13. Added a new page giving a simple definition and illustrative example of Minimum Description Length ([[MDL_OldKiwi]]) principle. Click here -->> [[MDL_OldKiwi]]
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* 2008/04/08 -- Added the section 'Different types of clustering algorithms and their references' on the [[Clustering_OldKiwi]] page.
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[[User:hsantosv|Hector Santos]]
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* 2008/04/03 -- Added figure examples for hierarchical and partition clusters in [[Lecture 22 - Decision Trees and Clustering_OldKiwi]]
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[[User:jinha|Jinha Jung]]
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* 2008/04/03 -- Create a new page on [[Convert LIBSVM to FANN python_OldKiwi]]
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* 2008/04/03 -- Add link on [[Tools_OldKiwi]]
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[[User:jinyoung|Jinyoung Kim]]
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* 2008/04/05 -- Create one example of the applicaiton of K-NN to estimatimation of time series [[Course Topics_OldKiwi]] [[kNN Algorithm_OldKiwi]] [[Discussion_OldKiwi]] 
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* 2008/04/05 -- Describe advantage and disadvantage of K-NN algorithm [[Course Topics_OldKiwi]]  [[kNN Algorithm_OldKiwi]] [[Discussion_OldKiwi]]
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* 2008/04/12 -- Describe algorithms to find minimum spanning tree - Prim & Kruskal & Comparison [[Lecture 24_OldKiwi]] [[Clustering and Hierarchical Clustering_OldKiwi]] [[Discussion_OldKiwi]]
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* 2008/04/12 -- Add a link to download Matlab code to find MST [[Lecture 23_OldKiwi]] [[Spanning Trees_OldKiwi]] [[Discussion_OldKiwi]]  
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[[User:jcillier|Johannes Cilliers]]
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[[User:Jinyoung1|Jinyoung Kim]]
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* 2008/04/07 -- added animation to [[Lecture 22 - Decision Trees and Clustering_OldKiwi]] showing how moving a training point can affect the cluster.
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* 2008/04/24 -- Summarize a paper which employs Neural Netowrk in calibrating scanners [[Artificial Neural Networks_OldKiwi]]- Application of Neural Networks to Color Calibration
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* 2008/04/08 -- started [[Lecture 23 - Spanning Trees_OldKiwi]]with definitions of terms
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* 2008/04/24 -- Describe my experiences on Neural Network to detect sonar singlas in sea [[Talk:Artificial Neural Networks_OldKiwi]]
  
 
[[User:yoder2|Josiah Yoder]]
 
[[User:yoder2|Josiah Yoder]]
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* 2008/04/07 -- Added a page on [[Naive Bayes_OldKiwi]]  Classification, including Matlab source for the figures.
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* 2008/04/24 -- Added the text and equations for [[Lecture 28 - Final lecture_OldKiwi]].  There are lots of figures that still need to be created!
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* 2008/04/07, 3:01 pm -- Added a page instructing how to insert example [[Matlab_OldKiwi]] code. Check it out everyone, it's easy!
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* 2008/04/17 -- Added a page on [[Bayes classification_OldKiwi]].  Started copying material from pertinent lectures
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* 2008/04/17 -- Converted my TeX notes with [[latex2wiki_OldKiwi]] to complete the text [[Lecture_26_-_Statistical_Clustering_Methods_OldKiwi]], particularly
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[[Lecture_26_-_Statistical_Clustering_Methods_OldKiwi#Clustering|Clustering]], [[Lecture_26_-_Statistical_Clustering_Methods_OldKiwi#Statistical_Clustering_Methods|Statistical Clustering Methods]], and [[Lecture_26_-_Statistical_Clustering_Methods_OldKiwi#Clustering_by_finding_valleys_of_densities|Clustering by finding valleys of densities]]. Further discussion and figures would still be helpful.
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[[User:gong1|Jungtag Gong]]
 
[[User:gong1|Jungtag Gong]]
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* 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to [[Glossary_OldKiwi]]
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* 2008/04/20 -- Linked the website of a tutorial on clustering and K-mean, Fuzzy C-means, Hierarchical clustering and clustering as mixture of gaussian methods at the clustering in the [[Glossary_OldKiwi]].
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* 2008/04/07 -- Linked the advantages and disadvantages of non-parametric techniques, a useful lecture of KNN, and the comparison Parzen study websites in [[Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate_OldKiwi]]
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* 2008/04/07 -- Added non-parametric techniques [[Course Topics_OldKiwi]] [[KNN Algorithm_OldKiwi]]
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* 2008/04/12 -- Created related websites and linked the websites of MST,Prim,Kruskal,Baruvka algorithms in [[Lecture_24_-Clustering_and_Hierarchical_Clustering_OldKiwi]].  
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[[User:kng|KaKi Ng]]
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* 2008/04/07 -- Added references to [[Decision Tree_OldKiwi]]
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[[User:han1|Kihwan Han]]
 
[[User:han1|Kihwan Han]]
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* 2008/04/07 -- Updated Course topic [[Metrics and Similarity Measures_OldKiwi]] and created course topic [[K continuous derivatives_OldKiwi]]
 
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* 2008/04/08 -- Updated [[Lecture 23 - Spanning Trees_OldKiwi]] (All texts and Figure 3-1, 3-2, and 3-3 of Graphical clustering methods)
 
 
* 2008/04/16 -- Created [[Lecture 25 - Clustering Algorithms_OldKiwi]] (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15)
 
* 2008/04/16 -- Created [[Lecture 25 - Clustering Algorithms_OldKiwi]] (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15)
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* 2008/04/22 -- Created [[Lecture 27 - Clustering by finding valleys of densities_OldKiwi]] and filled in section  (PDE based valley seeking) all texts and equations (3-1) ~ (3-30)
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[[User:kng|Kaki Ng]]
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* 2008/04/21 -- Added a reference library for tools
  
 
[[User:huffmalm|Landis Huffman]]
 
[[User:huffmalm|Landis Huffman]]
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* 2008/04/03 -- Added a link to a good SVM resource on the [[Homework 2_OldKiwi]] page.  Also copied all SVM resources listed on the [[Homework 2_OldKiwi]] page to the [[Support Vector Machines_OldKiwi]] page.
 
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* 2008/04/03 -- Directed some links on the [[Glossary_OldKiwi]] page to the appropriate pages.
 
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* 2008/04/07 -- Attempted to upload a .avi video for [[Bayes_Decision_Rule_OldKiwi]].  After finding that this host will not accept the files, and finding that I cannot embed a YouTube player, I created an image to represent the video and posted to the link on the [[Bayes_Decision_Rule_OldKiwi]] page.
 
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* 2008/04/10 -- Created a page [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_OldKiwi]].  Created diagrams to illustrate the various means of representation of hierarchical clustering and included them on the page.
 
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* 2008/04/10 -- Posted my code for the [Bayes_Decision_Rule] video and linked to the code on that page.  Also linked [[Lecture_6_-_Discriminant_Functions_OldKiwi]] on the page.
 
 
* 2008/04/17 -- Created a page for [[Lecture_26_-_Statistical_Clustering_Methods_OldKiwi]] and wrote a small description of Prof. Bouman's cluster software.  I modified the diagram from the software manual to match the corrected version presented in class.  I have included this diagram, a link to the cluster homepage, and a short writeup in the Lecture 26 notes.
 
* 2008/04/17 -- Created a page for [[Lecture_26_-_Statistical_Clustering_Methods_OldKiwi]] and wrote a small description of Prof. Bouman's cluster software.  I modified the diagram from the software manual to match the corrected version presented in class.  I have included this diagram, a link to the cluster homepage, and a short writeup in the Lecture 26 notes.
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* 2008/04/25 -- Created diagrams for [[Lecture_28_-_Final_lecture_OldKiwi]] showing the dromadaire turning into a chamaeu.  If I knew how, I would have mediaWiki resize these images.  Ugh!
  
 
[[User:lbachega|Leonardo Bachega]]
 
[[User:lbachega|Leonardo Bachega]]
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* 2008/04/06 -- Added Parzen Window classification code written in Scilab
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* 2008/04/20 -- Created whole article about Multidimensional Scaling ([[MDS_OldKiwi]]). Formated all equations in Latex and added references.
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* 2008/04/06 -- Fixed Formating on the page [[Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate_OldKiwi]]. Fixed formulas, added section structure, pointer to Scilab code: [[Working Parzen Window Code in Scilab_OldKiwi]].
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* 2008/04/28 -- Create article about non-linear spectral methods [[Nonlinear Methods: When Data Embedded in Low-Dimensional Non-Linear Manifold_OldKiwi]], and added the articles for [[Isomaps_OldKiwi]] and [[Laplacian Eigenmaps_OldKiwi]].
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* 2008/04/07 -- Fixed formating on the page [[Lecture 22 - Decision Trees and Clustering_OldKiwi]]
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* 2008/04/07 -- Fixed formating in several entries of the [[ECE662:Glossary_OldKiwi]], converting formulas to the latex format, and fixing typos. Also added links to external references such as Wikipedia. The entries touched include but are not restricted to: Manhattan distance, Euclidean distance, MAP estimation, Linear Discriminant
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* 2008/04/07 -- Added figure in [[Lecture 17 - Nearest Neighbors Clarification Rule and Metrics_OldKiwi]] illustrating different metrics. Converted some formulas to latex. Added the infinite norm metric
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[[User:guptam|Madhur Gupta]]
 
[[User:guptam|Madhur Gupta]]
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* 2008/04/01 -- Created the page for [[Lecture 21 - Decision Trees(Continued)_OldKiwi]]. Added the example of fruits, and Three crucial questions to answer.
 
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* 2008/04/03 -- Added to [[Lecture 22 - Decision Trees and Clustering_OldKiwi]] the section named "Clustering as a useful technique for searching in databases". This includes the example of Dewey system with figure, and the example of face recognition without figure.
 
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* 2008/04/08 -- Added the first set of notes to [[Lecture 23 - Spanning Trees_OldKiwi]], namely the section "Clustering Method, given the pairwise distances", with the text, a distance table, a figure showing the ideal clustering situation, and a figure presenting the case when the algorithm won't work well.
 
 
* 2008/04/16 -- Added the set of lecture notes for [[Lecture 25 - Clustering Algorithms_OldKiwi]] under the section "Clustering Methods - A summary". This includes a table for summary of Clustering methods titled "Figure 1". It also includes some text explaining defect in these methods and motivation for feature vector-based methods, which involve projection to lower dimensions. I do not provide the illustrating figures for the text, but I annotate for the same at two places.
 
* 2008/04/16 -- Added the set of lecture notes for [[Lecture 25 - Clustering Algorithms_OldKiwi]] under the section "Clustering Methods - A summary". This includes a table for summary of Clustering methods titled "Figure 1". It also includes some text explaining defect in these methods and motivation for feature vector-based methods, which involve projection to lower dimensions. I do not provide the illustrating figures for the text, but I annotate for the same at two places.
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* 2008/04/22 -- Added lecture notes for [[Lecture 27 - Clustering by finding valleys of densities_OldKiwi]] on the first two sections namely " Clustering by finding valleys of densities" and " Graph based implementation". I did not contribute any figure, but annotate a place where it may be inserted.
  
 
[[User:Mboschru|Marc Bosch]]
 
[[User:Mboschru|Marc Bosch]]
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* 2008/04/06 -- Created in the [[Clustering_OldKiwi]] section in course topics the page for [[Hierarchical clustering_OldKiwi]].
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* 2008/04/20 -- Added four papers in [[Publications_OldKiwi]] about Optimization-based clustering methods.
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* 2008/04/03 -- Created in the [[Clustering_OldKiwi]] section in course topics the page for [[Mixture of Gaussians_OldKiwi]].
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* 2008/04/20 -- Added two papers in [[Publications_OldKiwi]] about Hierarchical Clustering Methods.
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* 2008/04/10 -- Added two papers in [[Publications_OldKiwi]] that we discussed on class by B. King and S. Johnson.
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* 2008/04/20 -- Added five papers in [[Publications_OldKiwi]] about Density-based Clustering methods.
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* 2008/04/10 -- Created in the [[Clustering_OldKiwi]] section in course topics the page for [[Fuzzy C-means_OldKiwi]].
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* 2008/04/20 -- Added two papers in [[Publications_OldKiwi]] about Grid-Based Clustering Methods.
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* 2008/04/20 -- Added two papers in [[Publications_OldKiwi]] about Graph-based Clustering Methods.
  
 
[[User:nbedwell|Neil Bedwell]]
 
[[User:nbedwell|Neil Bedwell]]
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* 2008/04/12 -- Added the remainder of notes to [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_OldKiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]], including LaTex.
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* 2008/04/23 -- Corrected LaTex equations in [[Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window)_OldKiwi]], so that all are now correctly displayed.  
  
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[[User:Pclough|Patrick Clough]]
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[[User:Qxia|Qian Xia]]
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* 2008/04/07 -- Moved the page [[Supervised learning_OldKiwi]].
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* 2008/04/19 -- Add a comment in discussion of [[Lecture 23 - Spanning Trees_OldKiwi]] on the definition of path given in class.
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* 2008/04/07 -- Adjusted the width of an image in [[Linear Discriminant Functions_OldKiwi]]
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* 2008/04/21 -- Edited [[Lecture 26 - Clustering Algorithms_OldKiwi]] by adding the section on advantages of "partitional clustering".
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* 2008/04/21 -- Edited [[Lecture 27 - Statistical Clustering Methods_OldKiwi]] by adding the section on how the separation rule obtained by mixture of Gaussians model can be generalized to future unseen data.
  
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[[User:rsriniva|Rahul Srinivasa Raghavan]]
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[[User:Rsriniva|Rahul Srinivasa Raghavan]]
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* 2008/04/06 -- Ported over all PDF's, pertaining to [[1st Exam_OldKiwi]] of EC301, from old kiwi to new kiwi.
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* 2008/04/20 -- Added a new page on [[Influence Map_OldKiwi]], and added materials under the same.
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* 2008/04/06 -- Ported over contents, and added some materials pertaining to the Exam section, from old kiwi to new kiwi, for EC301.
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* 2008/04/13 -- Ported over all materials, including PDF's pertaining to ECE 301, for [[2nd Exam_OldKiwi]]
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* 2008/04/13 -- Transferred all the contents of [[3rd Exam_OldKiwi]] from old kiwi to the new one.
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[[User:sraghav|Saranya Raghavan]]
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[[User:park200|Seong Jun Park]]
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* 2008/04/06 -- Added link to commercial and free software for Classification using Decision Trees ([[Tools_OldKiwi]]).
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* 2008/04/21 -- Added and modified the square error in Lecture 26 Statistical clustering methods.
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* 2008/04/06 -- Added Publication #18 (A Scalable Decision Tree Algorithm) to [[Publications_OldKiwi]], and provided an abstract.
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* 2008/04/21 -- Added an image about Defining Distances Between Clusters in Lecture 24.
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* 2008/04/16 -- Added a page on [[Clustering Algorithms_OldKiwi]], explaining the types of clustering methods and links to software
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*  2008/04/26 -- Added two images about of Valley Seeking, and modified an equation to be wrong in Lecture 27.
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* 2008/04/26 -- Added part of an equation and bayes error rate graph for Nearest Neighbor in Lecture 19.
  
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[[User:park200|Seong Jun Park]]
 
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* 2008/04/04 -- Moved several images about Neural Network from old kiwi website to the lecture 13.
 
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* 2008/04/06 -- Added lecture notes about image segmentation.
 
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* 2008/04/07 -- Added figures about a sample tree and entropy impurity example in Lecture 22.
 
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* 2008/04/10 -- Added lecture and figures of spanning tree example in Lecture 23.
 
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* 2008/04/10 -- Linked the several glossaries used in the graph theory.
 
  
 
[[User:hu|Shuowen Hu]]
 
[[User:hu|Shuowen Hu]]
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* 2008/04/06 -- Added Figure 5 in Lecture 22 illustrating clustering, specifically hierarchial clustering with human pictures
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* 2008/04/20 -- Created Figure 5 in Lecture 25 illustrating natural clustering using the value of J.
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* 2008/04/06 -- Added figure labels for all pictures in Lecture 22
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* 2008/04/20 -- Added Figure 6 in Lecture 25 showing that squared error criterion is good for compact clusters, but sensitive to outliers.
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* 2008/04/16 -- Created Figure 4 in Lecture 23 illustrating clustering with a graph theory approach
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* 2008/04/16 -- Added figure labels for all pictures in Lecture 23
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[[User:svenkata|Singanallur V Venkatakrishnan]]
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[[User:slitkouh|Sahm Litkouhi]]
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* 2008/04/05 -- Moved the page and converted all formulas [[Geometric Series Note_OldKiwi]]
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* 2008/04/24 -- Added example and link to a paper I authored about 3 feature-based automotive [[Feature Extraction_OldKiwi|lane recognition]].
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* 2008/04/06 -- Moved and converted ALL equations from [[Homework Problem 5.31_OldKiwi]]
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* 2008/04/24 -- Moved [[Backpropagation Learning Algorithm_OldKiwi]] from old Kiwi to new glossary.
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* 2008/04/13 -- Created a page on [[Graph Algorithms_OldKiwi]]
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* 2008/04/24 -- Added link to ROC curves in glossary.  Moved [[Regularization_OldKiwi]] from the old Kiwi into glossary, and added link from [[Overfitting_OldKiwi]].
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[[User:sraghav|Saranya Raghavan]]
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* 2008/04/25 -- Added Figure 1 (Simple Clustering Example) and Figure 2 (Effect of Relative Scaling) to [[Clustering_OldKiwi]] page, and provided a brief description of each figure in relation to the concepts being discussed.
  
 
[[User:srudolph|Stephen Rudolph]]
 
[[User:srudolph|Stephen Rudolph]]
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* 2008/04/06 -- Created a category for [http://balthier.ecn.purdue.edu/index.php/Category:Lecture_Notes lecture notes] and added all lectures to that category.
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* 2008/04/17 -- Moved new assignment information from lecture notes to dedicated [[Homework 3_OldKiwi]] page and updated the information.
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* 2008/04/06 -- Created a category for [http://balthier.ecn.purdue.edu/index.php/Category:Cleanup articles that need cleanup] and added a lecture to it.
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* 2008/04/06 -- Created a category page for [http://balthier.ecn.purdue.edu/index.php/Category:Optimization optimization].
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[[User:svenkata|Singanallur Venkatakrishnan]]
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* 2008/04/20 -- [[Topological Sort and Strongly Connected Components_OldKiwi]] page added in continuation to my earlier page on graph algos
  
 
[[User:tha|Thanh Huy Ha]]
 
[[User:tha|Thanh Huy Ha]]
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* 2008/04/07 -- Created the page [[Editing technique_OldKiwi]], a very useful technique which helps us to reduce memory and computation expenses in K-nearest neighbor method.
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* 2008/04/25 -- Created the page [[Recommendations for nonlinear discrimination methods_OldKiwi]].
  
 
[[User:tchen|Thomas Chen]]
 
[[User:tchen|Thomas Chen]]
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* 2008/04/02 -- Edited Lecture 21 - added comment on CART Methodology
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* 2008/04/23 -- Created animated gif ECE662_lect27_smear.gif for lecture 27
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* 2008/04/02 -- Edited Lecture 21 - created image ECE662_lect21_stopping.jpg and comments about it at the bottom of the page
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* 2008/04/23 -- Added PDE's to the glossary
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* 2008/04/08 -- Edited Lecture 23 - Created animated image ECE662_lect23.gif and created example in lecture notes
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* 2008/04/10 -- Edited Lecture 24 - Added notes from agglomerate algorithms for hierarchical clustering
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[[User:chuangt|Tzu-Cheng Chuang]]
 
[[User:chuangt|Tzu-Cheng Chuang]]
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* 2008/04/03 -- Created the page for [[Lecture 22 - Decision Trees and Clustering_OldKiwi]]. Added the note from the beginning to [[Lecture 22 - Decision Trees and Clustering_OldKiwi#What is clustering?|What is clustering]]
 
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* 2008/04/10 -- Added the course note and diagrams to [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_OldKiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]] which are started from Minimum Spanning Tree Methods (MST) to Fig.2.
 
 
* 2008/04/17 -- Edited [[Lecture 26 - Statistical Clustering Methods_OldKiwi| Lecture 26]] by adding figure 1 and figure 3.
 
* 2008/04/17 -- Edited [[Lecture 26 - Statistical Clustering Methods_OldKiwi| Lecture 26]] by adding figure 1 and figure 3.
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* 2008/04/22 -- Edited [[Lecture_27_-_Clustering_by_finding_valleys_of_densities _OldKiwi| Lecture 27]] by adding figure 1,2 and 3.
  
 
[[User:ynimmaga|Yamini Nimmagadda]]
 
[[User:ynimmaga|Yamini Nimmagadda]]
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* 2008/04/01 -- Created the figure of a decision tree example in [[Lecture 21 - Decision Trees(Continued)_OldKiwi]].
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* 2008/04/25 -- Added Links for papers and tutorials on k-means clustering in [[Publications_OldKiwi]] section of [[References_OldKiwi]].
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* 2008/04/01 -- Defined and added different impurity types and latex equations in [[Lecture 21 - Decision Trees(Continued)_OldKiwi]].
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* 2008/04/25 -- Added [[Neural Networks using Genetic Algorithms_OldKiwi]]
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* 2008/04/01 -- Added the definitions of [[pruning_OldKiwi]] and [[impurity_OldKiwi]] to [[Glossary_OldKiwi]]
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* 2008/04/11 -- Added the definitions of [[Minimum Spanning Trees_OldKiwi]], [[Prim's Algorithm_OldKiwi]] and [[Kruskal's Algorithm_OldKiwi]] to [[Glossary_OldKiwi]]
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* 2008/04/11 -- Added [[Video Classification - State of the Art_OldKiwi]] in [[Applications of Pattern Recognition_OldKiwi]]
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[[User:mndoye|Mandoye Ndoye]]
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* 2008/04/07 -- Added (i.e. moved) subsection COMPARISION OF MLE AND BAYESIAN PARAMETER ESTIMATION to the [[Parametric Estimators_OldKiwi]].
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* 2008/04/07 -- Added (i.e. moved) subsection PARAMETER ESTIMATION to the [[Parametric Estimators_OldKiwi]].
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* 2008/04/16- Added subsection THE NEYMAN PEARSON FRAMEWORK  to the [[Bayesian Decision Theory_OldKiwi]].
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* 2008/04/16- Added subsection A BAYES CLASSIFIER EXAMPLE to the [[Bayesian Decision Theory_OldKiwi]].
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[[User:su0|Yun-Ting Su]]
  
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[[User:su0|Yun-ting Su]]
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* 2008/04/20 -- Added Figure 3 in [[Lecture 25 - Clustering Algorithms_OldKiwi]] illustrating how projections effect the result of clustering.
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* 2008/04/06 -- Created Figure 6 in Lecture 22 to illustrate an example of clustering with image segmentation.
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* 2008/04/20 -- Added Figure 4 in [[Lecture 25 - Clustering Algorithms_OldKiwi]] illustrating the algorithm for clustering from feature vectors.
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* 2008/04/06 -- Wrote lecture note about image segmentation to describe Figure 6 in Lecture 22
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* 2008/04/16 -- Created Figure 7 in [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_OldKiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]] illustrating Farthesr Neighbor distance with similarity scale
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* 2008/04/16 -- Added figure labels following by orderes for all pictures in [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_OldKiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]]
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Latest revision as of 11:21, 28 April 2008

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To aid the grader, please try to be as exact as possible' in your description. Number your figures and equations and specify those in your ChangeLog entry. Also give a hyperlink to the page(s) you edited.

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Bunyamin Sisman

The ChangeLog

KyoHyouk Kim

  • 2008/04/25 -- Addeda pattern recognition application field in remote sensing

Ashish Kamra

Bunyamin Sisman

  • 2008/04/24 -- Added a page with some figures for Mixture Models to Glossary

Dalton Lunga

Elvin Bernard

Gaurav Srivastava

  • 2008/04/18 -- This posting is for week 14. Previous posting is for week 13. Added a new page giving a simple definition and illustrative example of Minimum Description Length (MDL_OldKiwi) principle. Click here -->> MDL_OldKiwi

Jinyoung Kim

Josiah Yoder

Jungtag Gong

  • 2008/04/20 -- Linked the website of a tutorial on clustering and K-mean, Fuzzy C-means, Hierarchical clustering and clustering as mixture of gaussian methods at the clustering in the Glossary_OldKiwi.

Kihwan Han


Kaki Ng

  • 2008/04/21 -- Added a reference library for tools

Landis Huffman

  • 2008/04/17 -- Created a page for Lecture_26_-_Statistical_Clustering_Methods_OldKiwi and wrote a small description of Prof. Bouman's cluster software. I modified the diagram from the software manual to match the corrected version presented in class. I have included this diagram, a link to the cluster homepage, and a short writeup in the Lecture 26 notes.
  • 2008/04/25 -- Created diagrams for Lecture_28_-_Final_lecture_OldKiwi showing the dromadaire turning into a chamaeu. If I knew how, I would have mediaWiki resize these images. Ugh!

Leonardo Bachega

Madhur Gupta

  • 2008/04/16 -- Added the set of lecture notes for Lecture 25 - Clustering Algorithms_OldKiwi under the section "Clustering Methods - A summary". This includes a table for summary of Clustering methods titled "Figure 1". It also includes some text explaining defect in these methods and motivation for feature vector-based methods, which involve projection to lower dimensions. I do not provide the illustrating figures for the text, but I annotate for the same at two places.
  • 2008/04/22 -- Added lecture notes for Lecture 27 - Clustering by finding valleys of densities_OldKiwi on the first two sections namely " Clustering by finding valleys of densities" and " Graph based implementation". I did not contribute any figure, but annotate a place where it may be inserted.

Marc Bosch

Neil Bedwell

Qian Xia

Rahul Srinivasa Raghavan

Seong Jun Park

  • 2008/04/21 -- Added and modified the square error in Lecture 26 Statistical clustering methods.
  • 2008/04/21 -- Added an image about Defining Distances Between Clusters in Lecture 24.
  • 2008/04/26 -- Added two images about of Valley Seeking, and modified an equation to be wrong in Lecture 27.
  • 2008/04/26 -- Added part of an equation and bayes error rate graph for Nearest Neighbor in Lecture 19.


Shuowen Hu

  • 2008/04/20 -- Created Figure 5 in Lecture 25 illustrating natural clustering using the value of J.
  • 2008/04/20 -- Added Figure 6 in Lecture 25 showing that squared error criterion is good for compact clusters, but sensitive to outliers.

Sahm Litkouhi


Saranya Raghavan

  • 2008/04/25 -- Added Figure 1 (Simple Clustering Example) and Figure 2 (Effect of Relative Scaling) to Clustering_OldKiwi page, and provided a brief description of each figure in relation to the concepts being discussed.

Stephen Rudolph

  • 2008/04/17 -- Moved new assignment information from lecture notes to dedicated Homework 3_OldKiwi page and updated the information.

Singanallur Venkatakrishnan

Thanh Huy Ha

Thomas Chen

  • 2008/04/23 -- Created animated gif ECE662_lect27_smear.gif for lecture 27
  • 2008/04/23 -- Added PDE's to the glossary

Tzu-Cheng Chuang

  • 2008/04/17 -- Edited Lecture 26 by adding figure 1 and figure 3.
  • 2008/04/22 -- Edited Lecture 27 by adding figure 1,2 and 3.

Yamini Nimmagadda

Yun-Ting Su

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Alumni Liaison

Recent Math PhD now doing a post-doctorate at UC Riverside.

Kuei-Nuan Lin