(The ChangeLog)
(The ChangeLog)
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* 2008/04/07 -- Updated Course topic [[Metrics and Similarity Measures_Old Kiwi]] and created course topic [[K continuous derivatives_Old Kiwi]]
 
* 2008/04/07 -- Updated Course topic [[Metrics and Similarity Measures_Old Kiwi]] and created course topic [[K continuous derivatives_Old Kiwi]]
 
* 2008/04/08 -- Updated [[Lecture 23 - Spanning Trees_Old Kiwi]] (All texts and Figure 3-1, 3-2, and 3-3 of Graphical clustering methods)
 
* 2008/04/08 -- Updated [[Lecture 23 - Spanning Trees_Old Kiwi]] (All texts and Figure 3-1, 3-2, and 3-3 of Graphical clustering methods)
* 2008/04/16 -- Created [[Lectire 25 - Clustering Algorithms_Old Kiwi]] (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15)
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* 2008/04/16 -- Created [[Lecture 25 - Clustering Algorithms_Old Kiwi]] (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15)
  
  

Revision as of 09:59, 16 April 2008

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Bunyamin Sisman

The ChangeLog

KyoHyouk Kim

  • 2008/04/07 -- Add links for clustering techniques
  • 2008/04/07 -- Add figure of impurity function on Lecture 21

Abhishek Arora

Bunyamin Sisman

  • 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.
  • 2008/04/13 -- Added some explanations, links and a animated gif for Minimum spanning tree algorithms to lecture 24.

Dalton Lunga

Elvin Bernard

Fengqing Zhu

Gaurav Srivastava

Hector Santos

Jinha Jung

Jinyoung Kim

Johannes Cilliers

Josiah Yoder

  • 2008/04/07 -- Added a page on Naive Bayes_Old Kiwi Classification, including Matlab source for the figures.
  • 2008/04/07, 3:01 pm -- Added a page instructing how to insert example Matlab_Old Kiwi code. Check it out everyone, it's easy!

Jungtag Gong

KaKi Ng

Kihwan Han


Landis Huffman

Leonardo Bachega

Madhur Gupta

  • 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.
  • 2008/04/08 -- 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.

Marc Bosch

Neil Bedwell

Patrick Clough

Rahul Srinivasa Raghavan

  • 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 the Exam section, from old kiwi to new kiwi, for EC301.
  • 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.

Saranya Raghavan

  • 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.

Seong Jun Park

  • 2008/04/04 -- Moved several images about Neural Network from old kiwi website to the lecture 13.
  • 2008/04/06 -- Added lecture notes about image segmentation.
  • 2008/04/07 -- Added figures about a sample tree and entropy impurity example in Lecture 22.
  • 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

  • 2008/04/06 -- 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

Singanallur V Venkatakrishnan

Stephen Rudolph

Thanh Huy Ha

  • 2008/04/07 -- Created the page Editing technique_Old Kiwi, a very useful technique which helps us to reduce memory and computation expenses in K-nearest neighbor method.

Thomas Chen

  • 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
  • 2008/04/08 -- 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

  • 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

Alumni Liaison

Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

Dr. Paul Garrett