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
- 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)
- 2008/04/21 -- 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.
- 2008/04/20 -- 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.
- 2008/04/20 -- 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.
