(The ChangeLog)
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* 2008/04/20 -- Added two papers in [[Publications_Old Kiwi]] about Graph-based Clustering Methods.
 
* 2008/04/20 -- Added two papers in [[Publications_Old Kiwi]] about Graph-based Clustering Methods.
 
[[User:nbedwell|Neil Bedwell]]
 
[[User:nbedwell|Neil Bedwell]]
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[[User:qxia|Qian Xia]]
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* 2008/04/19 -- Add a comment in discussion of [[Lecture 23 - Spanning Trees_Old Kiwi]] on the definition of path given in class.
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* 2008/04/21 -- Edited [[Lecture 26 - Clustering Algorithms_Old Kiwi]] by adding the section on advantges of "partitional clustering".
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* 2008/04/21 -- Edited [[Lecture 27 - Statistical Clustering Methods_Old Kiwi]] 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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* 2008/04/21 -- Added four papers in [[Publications_Old Kiwi]] about Optimization-based clustering
  
 
[[User:Rsriniva|Rahul Srinivasa Raghavan]]
 
[[User:Rsriniva|Rahul Srinivasa Raghavan]]

Revision as of 10:29, 21 April 2008

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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

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_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

Qian Xia

Rahul Srinivasa Raghavan

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.

Stephen Rudolph

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

Singanallur Venkatakrishnan

Tzu-Cheng Chuang

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

Yun-Ting Su

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