(The ChangeLog)
(The ChangeLog)
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[[User:akamra|Ashish Kamra]]
 
[[User:akamra|Ashish Kamra]]
 
* 2008/04/20  -- Added description of the k-centers clustering problem [[Clustering_Algorithms_Old Kiwi]]
 
* 2008/04/20  -- Added description of the k-centers clustering problem [[Clustering_Algorithms_Old Kiwi]]
* 2008/04/20  -- Added link to past conferences on application of machine learning techniques to anomaly detection [[_Old Kiwi]]
+
* 2008/04/20  -- Added link to past conferences on application of machine learning techniques to anomaly detection [[Applications_of_Pattern_Recognition_Old Kiwi]]
  
 
[[User:wlunga|Dalton Lunga]]
 
[[User:wlunga|Dalton Lunga]]

Revision as of 13:57, 20 April 2008

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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.

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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.

Example

Bunyamin Sisman

The ChangeLog

Ashish Kamra

Dalton Lunga

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_Old Kiwi) principle. Click here -->> MDL_Old Kiwi

Kihwan Han


Landis Huffman

  • 2008/04/17 -- Created a page for Lecture_26_-_Statistical_Clustering_Methods_Old Kiwi 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.

Madhur Gupta

  • 2008/04/16 -- Added the set of lecture notes for Lecture 25 - Clustering Algorithms_Old Kiwi 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.

Marc Bosch

Neil Bedwell

Stephen Rudolph

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

Tzu-Cheng Chuang

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

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood