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[[User:Bsisman|Bunyamin Sisman]]
 
[[User:Bsisman|Bunyamin Sisman]]
* 2008/04/24  -- Added a page with some figures for Mixture Models to Glossary
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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
  
 
[[User:wlunga|Dalton Lunga]]
 
[[User:wlunga|Dalton Lunga]]

Revision as of 14:19, 24 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

Ashish Kamra

Bunyamin Sisman

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

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_OldKiwi) principle. Click here -->> MDL_OldKiwi

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.

Leonardo Bachega

  • 2008/04/20 -- Created whole article about Multidimensional Scaling (MDS_OldKiwi). Formated all equations in Latex and added references.

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.


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

Stephen Rudolph

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

Singanallur Venkatakrishnan

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.

Yun-Ting Su

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