Revision as of 13:00, 20 April 2008 by Mboschru (Talk)

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

Bunyamin Sisman

The ChangeLog

KyoHyouk Kim

  • 2008/04/17 -- Add link and contens for ISODATA clustering method

Bunyamin Sisman

  • 2008/04/13 -- Added some explanations, links and a animated gif for Minimum spanning tree algorithms to lecture 24.
  • 2008/04/16 -- Added some explanations to Farthest Neighbor Algorithm.
  • 2008/04/17 -- Created a page and added descriptions with figures for Expectation maximization.

Dalton Lunga


Elvin Bernard

Gaurav Srivastava

  • 2008/04/08 -- Added the section 'Different types of clustering algorithms and their references' on the Clustering_Old Kiwi page.
  • 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

Jinyoung Kim

Johannes Cilliers

Josiah Yoder

Clustering, Statistical Clustering Methods, and Clustering by finding valleys of densities. Further discussion and figures would still be helpful.

Jungtag Gong

KaKi Ng

Kihwan Han


Landis Huffman

Leonardo Bachega

Madhur Gupta

  • 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.
  • 2008/04/16 -- 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

Rahul Srinivasa Raghavan

  • 2008/04/13 -- Ported over all materials, including PDF's pertaining to ECE 301, for 2nd Exam_Old Kiwi
  • 2008/04/13 -- Transferred all the contents of 3rd Exam_Old Kiwi from old kiwi to the new one.

Sahm Litkouhi

  • 2008/04/18 -- Added an example of image segmentation using a nearest neighbors algorithm with my results and a link to the laboratory.

Saranya Raghavan

Seong Jun Park

  • 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.

Shuowen Hu

  • 2008/04/16 -- Created Figure 4 in Lecture 23 illustrating clustering with a graph theory approach
  • 2008/04/16 -- Added figure labels for all pictures in Lecture 23

Singanallur V Venkatakrishnan

Stephen Rudolph

  • 2008/04/10 -- Created a category page for Category:ECE662_Old Kiwi and organized several pages under it.
  • 2008/04/17 -- Moved new assignment information from lecture notes to dedicated Homework 3_Old Kiwi page and updated the information.

Thanh Huy Ha

Thomas Chen

  • 2008/04/08 -- Edited Lecture 23 - Created animated image ECE662_lect23.gif and created example in lecture notes
  • 2008/04/10 -- Edited Lecture 24 - Added notes from agglomerate algorithms for hierarchical clustering

Tzu-Cheng Chuang

Yamini Nimmagadda

Mandoye Ndoye


Yun-ting Su

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood