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[[User:gong1|Jungtag Gong]] | [[User:gong1|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. | + | * 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]]. |
[[User:han1|Kihwan Han]] | [[User:han1|Kihwan Han]] |
Revision as of 23:26, 20 April 2008
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Example
- 2007/10/02 -- Created a new page on Image Processing_OldKiwi.
- 2007/10/03 -- Edited Lecture 3 - Bayes classification_OldKiwi by adding the section on Bayes rule equation <3,4,5> and figures <1,2,3>.
The ChangeLog
- 2008/04/20 -- Added description of the k-centers clustering problem Clustering_Algorithms_OldKiwi
- 2008/04/20 -- Added link to past conferences on application of machine learning techniques to anomaly detection Applications_of_Pattern_Recognition_OldKiwi
- 2008/04/17 -- Added last part of Lecture on 26 Statistical Clustering Methods_OldKiwi
- 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
- 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.
- 2008/04/16 -- Created Lecture 25 - Clustering Algorithms_OldKiwi (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15)
- 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.
- 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.
- 2008/04/20 -- Added four papers in Publications_OldKiwi about Optimization-based clustering methods.
- 2008/04/20 -- Added two papers in Publications_OldKiwi about Hierarchical Clustering Methods.
- 2008/04/20 -- Added five papers in Publications_OldKiwi about Density-based Clustering methods.
- 2008/04/20 -- Added two papers in Publications_OldKiwi about Grid-Based Clustering Methods.
- 2008/04/20 -- Added two papers in Publications_OldKiwi about Graph-based Clustering Methods.
- 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.
- 2008/04/17 -- Moved new assignment information from lecture notes to dedicated Homework 3_OldKiwi page and updated the information.
- 2008/04/20 -- Topological Sort and Strongly Connected Components_OldKiwi page added in continuation to my earlier page on graph algos
- 2008/04/17 -- Edited Lecture 26 by adding figure 1 and figure 3.
- 2008/04/20 -- Added Figure 3 in Lecture 25 - Clustering Algorithms_OldKiwi illustrating how projections effect the result of clustering.
- 2008/04/20 -- Added Figure 4 in Lecture 25 - Clustering Algorithms_OldKiwi illustrating the algorithm for clustering from feature vectors.