Page Formatting
Please keep your changes logged under your name in chronological order (most recent change appended to the bottom of your list). If your name is not included yet, please include it, retaining the alphabetization of the users by name. Entries are sorted by first names alphabetically.
Also take a look at the "changes" and locate your changes when you put them up
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.
Example
- 2007/10/02 -- Created a new page on Kernels_Old Kiwi.
- 2007/10/03 -- Edited Lecture 3 - Bayes classification_Old Kiwi by adding the section on Bayes rule equation <3,4,5> and figures <1,2,3>.
The ChangeLog
- 2008/04/07 -- Add links for clustering techniques
- 2008/04/07 -- Add figure of impurity function on Lecture 21
- 2008/04/07 -- Moved the page and converted all equations and uploaded figures SVM-2D_Old Kiwi
- 2008/04/07 -- Moved the page Bayes Example_Old Kiwi
- 2008/04/06 -- Added some explanations and a figure to lecture 22 for clustering.
- 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.
- 2008/04/01 -- Added the topic: Graphical models_Old Kiwi and gave a description of how these models link to decision trees.
- 2008/04/08 -- Added partial class notes for Lecture 23 - Spanning Trees_Old Kiwi Graphical Clustering Methods_Old Kiwi
- 2008/04/08 -- Added partial class notes for Lecture 23 - Spanning Trees_Old Kiwi Graph Theory Clustering_Old Kiwi
- 2008/04/07 -- Created new pages for the Glossary_Old Kiwi items: Distance_Old Kiwi, Metric_Old Kiwi, Generic Property_Old Kiwi, Hilbert Space_Old Kiwi, Histogram Density Estimation_Old Kiwi, Impurity_Old Kiwi, Informative Prior_Old Kiwi, Kernel Functions_Old Kiwi, Lagrange Multipliers_Old Kiwi, LUT - Look-Up Table_Old Kiwi.
- 2008/04/07 -- Added resources to Content-based Image/video Retrieval in Image Processing_Old Kiwi
- 2008/04/07 -- Added references to Decision Tree_Old Kiwi
- 2008/04/02 -- Edited Lecture 21 - Decision Trees(Continued)_Old Kiwi. Added the description of answering the three crucial questions and added two figures Node.jpg[1] and Balance.jpg[2].
- 2008/04/08 -- Added the section 'Different types of clustering algorithms and their references' on the Clustering_Old Kiwi page.
- 2008/04/03 -- Added figure examples for hierarchical and partition clusters in Lecture 22 - Decision Trees and Clustering_Old Kiwi
- 2008/04/03 -- Create a new page on Convert LIBSVM to FANN python_Old Kiwi
- 2008/04/03 -- Add link on Tools_Old Kiwi
- 2008/04/05 -- Create one example of the applicaiton of K-NN to estimatimation of time series Course Topics_Old Kiwi kNN Algorithm_Old Kiwi Discussion_Old Kiwi
- 2008/04/05 -- Describe advantage and disadvantage of K-NN algorithm Course Topics_Old Kiwi kNN Algorithm_Old Kiwi Discussion_Old Kiwi
- 2008/04/07 -- added animation to Lecture 22 - Decision Trees and Clustering_Old Kiwi showing how moving a training point can affect the cluster.
- 2008/04/08 -- started Lecture 23 - Spanning Trees_Old Kiwiwith definitions of terms
- 2008/04/07 -- Added a page on Naive Bayes_Old Kiwi Classification, including Matlab source for the figures.
- 2008/04/07, 3:01 pm -- Added a page instructing how to insert example Matlab_Old Kiwi code. Check it out everyone, it's easy!
- 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to Glossary_Old Kiwi
- 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_Old Kiwi
- 2008/04/07 -- Added non-parametric techniques Course Topics_Old Kiwi KNN Algorithm_Old Kiwi
- 2008/04/07 -- Added references to Decision Tree_Old Kiwi
- 2008/04/07 -- Updated Course topic Metrics and Similarity Measures_Old Kiwi and created course topic K continuous derivatives_Old Kiwi
- 2008/04/08 -- Updated Lecture 23 - Spanning Trees_Old Kiwi (All texts and Figure 3-1, 3-2, and 3-3 of Graphical clustering methods)
- 2008/04/03 -- Added a link to a good SVM resource on the Homework 2_Old Kiwi page. Also copied all SVM resources listed on the Homework 2_Old Kiwi page to the Support Vector Machines_Old Kiwi page.
- 2008/04/03 -- Directed some links on the Glossary_Old Kiwi page to the appropriate pages.
- 2008/04/07 -- Attempted to upload a .avi video for Bayes_Decision_Rule_Old Kiwi. 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_Old Kiwi page.
- 2008/04/10 -- Created a page Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi. Created diagrams to illustrate the various means of representation of hierarchical clustering and included them on the page.
- 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_Old Kiwi on the page.
- 2008/04/06 -- Added Parzen Window classification code written in Scilab
- 2008/04/06 -- Fixed Formating on the page Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate_Old Kiwi. Fixed formulas, added section structure, pointer to Scilab code: Working Parzen Window Code in Scilab_Old Kiwi.
- 2008/04/07 -- Fixed formating on the page Lecture 22 - Decision Trees and Clustering_Old Kiwi
- 2008/04/07 -- Fixed formating in several entries of the ECE662:Glossary_Old Kiwi, 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
- 2008/04/07 -- Added figure in Lecture 17 - Nearest Neighbors Clarification Rule and Metrics_Old Kiwi illustrating different metrics. Converted some formulas to latex. Added the infinite norm metric
- 2008/04/01 -- Created the page for Lecture 21 - Decision Trees(Continued)_Old Kiwi. Added the example of fruits, and Three crucial questions to answer.
- 2008/04/03 -- Added to Lecture 22 - Decision Trees and Clustering_Old Kiwi 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.
- 2008/04/08 -- Added the first set of notes to Lecture 23 - Spanning Trees_Old Kiwi, 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.
- 2008/04/06 -- Created in the Clustering_Old Kiwi section in course topics the page for Hierarchical clustering_Old Kiwi.
- 2008/04/03 -- Created in the Clustering_Old Kiwi section in course topics the page for Mixture of Gaussians_Old Kiwi.
- 2008/04/07 -- Moved the page Supervised learning_Old Kiwi.
- 2008/04/07 -- Adjusted the width of an image in Linear Discriminant Functions_Old Kiwi
- 2008/04/06 -- Ported over all PDF's, pertaining to 1st Exam_Old Kiwi of EC301, from old kiwi to new kiwi.
- 2008/04/06 -- Ported over contents, and added some materials pertaining to 2nd Exam, from old kiwi to new kiwi, for EC301.
- 2008/04/06 -- Added link to commercial and free software for Classification using Decision Trees (Tools_Old Kiwi).
- 2008/04/06 -- Added Publication #18 (A Scalable Decision Tree Algorithm) to Publications_Old Kiwi, and provided an abstract.
- 2008/04/04 -- Moved several images about Neural Network from old kiwi website to the lecture 13.
- 2008/04/06 -- Added lecture notes about image segmentation.
- 2008/04/07 -- Added figures about a sample tree and entropy impurity example in Lecture 22.
- 2008/04/10 -- Added lecture and figures of spanning tree example in Lecture 23.
- 2008/04/10 -- Linked the several glossaries used in the graph theory.
- 2008/04/06 -- Added Figure 5 in Lecture 22 illustrating clustering, specifically hierarchial clustering with human pictures
- 2008/04/06 -- Added figure labels for all pictures in Lecture 22
- 2008/05/05 -- Moved the page and converted all formulas Geometric Series Note_Old Kiwi
- 2008/05/06 -- Moved and converted ALL equations from Homework Problem 5.31_Old Kiwi
- 2008/04/06 -- Created a category for lecture notes and added all lectures to that category.
- 2008/04/06 -- Created a category for articles that need cleanup and added a lecture to it.
- 2008/04/06 -- Created a category page for optimization.
- 2008/04/07 -- Created the page Editing technique_Old Kiwi, a very useful technique which helps us to reduce memory and computation expenses in K-nearest neighbor method.
- 2008/04/02 -- Edited Lecture 21 - added comment on CART Methodology
- 2008/04/02 -- Edited Lecture 21 - created image ECE662_lect21_stopping.jpg and comments about it at the bottom of the page
- 2008/04/08 -- Edited Lecture 23 - Created animated image ECE662_lect23.gif and created example in lecture notes
- 2008/04/03 -- Created the page for Lecture 22 - Decision Trees and Clustering_Old Kiwi. Added the note from the beginning to What is clustering
- 2008/04/10 -- Added the course note and diagrams to Lecture 24 which is started from Minimum Spanning Tree Methods (MST) to Fig.2.
- 2008/04/01 -- Created the figure of a decision tree example in Lecture 21 - Decision Trees(Continued)_Old Kiwi.
- 2008/04/01 -- Defined and added different impurity types and latex equations in Lecture 21 - Decision Trees(Continued)_Old Kiwi.
- 2008/04/01 -- Added the definitions of pruning_Old Kiwi and impurity_Old Kiwi to Glossary_Old Kiwi
- 2008/04/07 -- Added (i.e. moved) subsection COMPARISION OF MLE AND BAYESIAN PARAMETER ESTIMATION to the Parametric Estimators_Old Kiwi.
- 2008/04/07 -- Added (i.e. moved) subsection PARAMETER ESTIMATION to the Parametric Estimators_Old Kiwi.
- 2008/04/06 -- Created Figure 6 in Lecture 22 to illustrate an example of clustering with image segmentation.
- 2008/04/06 -- Wrote lecture note about image segmentation to describe Figure 6 in Lecture 22
![[1]](http://balthier.ecn.purdue.edu/index.php/Image:Node.jpg){kind=link}
![[2]](http://balthier.ecn.purdue.edu/index.php/Image:Balance.jpg){kind=link}