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* 2008/05/05 -- Moved the page and converted all formulas [[Geometric Series Note_Old Kiwi]] | * 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]] | * 2008/05/06 -- Moved and converted ALL equations from [[Homework Problem 5.31_Old Kiwi]] | ||
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+ | [[User:srudolph|Stephen Rudolph]] | ||
+ | * 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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[[User:chuangt|Tzu-Cheng Chuang]] | [[User:chuangt|Tzu-Cheng Chuang]] | ||
* 2008/04/03 -- Created the page for [[Lecture 22 - Decision Trees and Clustering_Old Kiwi]]. Added the note from the beginning to [[Lecture 22 - Decision Trees and Clustering_Old Kiwi#What is clustering?|What is clustering]] | * 2008/04/03 -- Created the page for [[Lecture 22 - Decision Trees and Clustering_Old Kiwi]]. Added the note from the beginning to [[Lecture 22 - Decision Trees and Clustering_Old Kiwi#What is clustering?|What is clustering]] |
Revision as of 21:18, 6 April 2008
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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
- 2008/04/06 -- 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.
- 2008/04/03 -- Added figure examples for hierarchical and partition clusters in Lecture 22 - Decision Trees and Clustering_Old Kiwi
- 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.
- 2008/04/01 -- 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.
- 2008/04/06 -- 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.
- 2008/04/01 -- 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
- 2008/04/06 -- 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.
- 2008/04/02 -- 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].
- 2008/04/03 -- 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
- 2008/04/03 -- Linked two tutorials of decision tree and the lecture and example of Fisher linear discriminant to Glossary_Old Kiwi
- 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
- 2008/04/04 -- Moved several images about Neural Network from old kiwi website to the lecture 13
- 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
- 2008/04/06 -- 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.
- 2008/05/05 -- 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.
- 2008/04/03 -- Created the page for Lecture 22 - Decision Trees and Clustering_Old Kiwi. Added the note from the beginning to What is clustering
- 2008/04/06 -- Added lecture notes about image segmentation.
- 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