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[[User:han1|Kihwan Han]] | [[User:han1|Kihwan Han]] | ||
* 2008/04/16 -- Created [[Lecture 25 - Clustering Algorithms_Old Kiwi]] (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15) | * 2008/04/16 -- Created [[Lecture 25 - Clustering Algorithms_Old Kiwi]] (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15) | ||
+ | * 2008/04/22 -- Created [[Lecture 27 - Clustering by finding valleys of densities_Old Kiwi]] and filled in section (PDE based valley seeking) texts and equations upto (3-17) | ||
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[[User:kng|Kaki Ng]] | [[User:kng|Kaki Ng]] |
Revision as of 11:13, 22 April 2008
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Example
- 2007/10/02 -- Created a new page on Image Processing_Old Kiwi.
- 2007/10/03 -- Edited Lecture 3 - Bayes classification_Old Kiwi 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_Old Kiwi
- 2008/04/20 -- Added link to past conferences on application of machine learning techniques to anomaly detection Applications_of_Pattern_Recognition_Old Kiwi
- 2008/04/17 -- Added last part of Lecture on 26 Statistical Clustering Methods_Old Kiwi
- 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
- 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.
- 2008/04/16 -- Created Lecture 25 - Clustering Algorithms_Old Kiwi (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15)
- 2008/04/22 -- Created Lecture 27 - Clustering by finding valleys of densities_Old Kiwi and filled in section (PDE based valley seeking) texts and equations upto (3-17)
- 2008/04/21 -- Added a reference library for tools
- 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.
- 2008/04/20 -- Created whole article about Multidimensional Scaling (MDS_Old Kiwi). Formated all equations in Latex and added references.
- 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.
- 2008/04/22 -- Added lecture notes for Lecture 27 - Clustering by finding valleys of densities_Old Kiwi 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.
- 2008/04/20 -- Added four papers in Publications_Old Kiwi about Optimization-based clustering methods.
- 2008/04/20 -- Added two papers in Publications_Old Kiwi about Hierarchical Clustering Methods.
- 2008/04/20 -- Added five papers in Publications_Old Kiwi about Density-based Clustering methods.
- 2008/04/20 -- Added two papers in Publications_Old Kiwi about Grid-Based Clustering Methods.
- 2008/04/20 -- Added two papers in Publications_Old Kiwi about Graph-based Clustering Methods.
- 2008/04/21 -- Added four papers in Publications_Old Kiwi about Optimization-based clustering
- 2008/04/19 -- Add a comment in discussion of Lecture 23 - Spanning Trees_Old Kiwi on the definition of path given in class.
- 2008/04/21 -- Edited Lecture 26 - Clustering Algorithms_Old Kiwi by adding the section on advantges of "partitional clustering".
- 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.
- 2008/04/20 -- Added a new page on Influence Map_Old Kiwi, and added materials under the same.
- 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.
- 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_Old Kiwi page and updated the information.
- 2008/04/20 -- Topological Sort and Strongly Connected Components_Old Kiwi 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_Old Kiwi illustrating how projections effect the result of clustering.
- 2008/04/20 -- Added Figure 4 in Lecture 25 - Clustering Algorithms_Old Kiwi illustrating the algorithm for clustering from feature vectors.