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== The ChangeLog == | == The ChangeLog == | ||
[[User:KyoHyouk|KyoHyouk Kim]] | [[User:KyoHyouk|KyoHyouk Kim]] | ||
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* 2008/04/17 -- Add link and contens for ISODATA clustering method | * 2008/04/17 -- Add link and contens for ISODATA clustering method | ||
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[[User:Bsisman|Bunyamin Sisman]] | [[User:Bsisman|Bunyamin Sisman]] | ||
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* 2008/04/13 -- Added some explanations, links and a animated gif for Minimum spanning tree algorithms to lecture 24. | * 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. | * 2008/04/16 -- Added some explanations to Farthest Neighbor Algorithm. | ||
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[[User:wlunga|Dalton Lunga]] | [[User:wlunga|Dalton Lunga]] | ||
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* 2008/04/08 -- Added partial class notes for Lecture 23 - [[Spanning Trees_Old Kiwi]] [[Graphical Clustering Methods_Old Kiwi]] | * 2008/04/08 -- Added partial class notes for Lecture 23 - [[Spanning Trees_Old Kiwi]] [[Graphical Clustering Methods_Old Kiwi]] | ||
* 2008/04/08 -- Added partial class notes for Lecture 23 - [[Spanning Trees_Old Kiwi]] [[Graph Theory Clustering_Old Kiwi]] | * 2008/04/08 -- Added partial class notes for Lecture 23 - [[Spanning Trees_Old Kiwi]] [[Graph Theory Clustering_Old Kiwi]] | ||
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[[User:ebernard|Elvin Bernard]] | [[User:ebernard|Elvin Bernard]] | ||
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* 2008/04/17 -- Moved old pages and/or created new pages for the [[Glossary_Old Kiwi]] items: [[Likelihood Principle_Old Kiwi]], [[Linear Discriminant Functions (LDF)_Old Kiwi]], [[Manhattan Distance_Old Kiwi]], [[Minkowski Metric_Old Kiwi]], [[MLE_Old Kiwi]], [[Nonparametric regression/density estimation_Old Kiwi]], [[Non-parametric Model_Old Kiwi]], [[Overfitting_Old Kiwi]], [[Parameter Estimation_Old Kiwi]], [[Parametric Model_Old Kiwi]], [[Patterns_Old Kiwi]], [[Parzen Window_Old Kiwi]], [[Penalty Methods_Old Kiwi]], [[Posterior_Old Kiwi]], [[Principal Component Analysis_Old Kiwi]]. | * 2008/04/17 -- Moved old pages and/or created new pages for the [[Glossary_Old Kiwi]] items: [[Likelihood Principle_Old Kiwi]], [[Linear Discriminant Functions (LDF)_Old Kiwi]], [[Manhattan Distance_Old Kiwi]], [[Minkowski Metric_Old Kiwi]], [[MLE_Old Kiwi]], [[Nonparametric regression/density estimation_Old Kiwi]], [[Non-parametric Model_Old Kiwi]], [[Overfitting_Old Kiwi]], [[Parameter Estimation_Old Kiwi]], [[Parametric Model_Old Kiwi]], [[Patterns_Old Kiwi]], [[Parzen Window_Old Kiwi]], [[Penalty Methods_Old Kiwi]], [[Posterior_Old Kiwi]], [[Principal Component Analysis_Old Kiwi]]. | ||
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[[User:gsrivast|Gaurav Srivastava]] | [[User:gsrivast|Gaurav Srivastava]] | ||
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* 2008/04/08 -- Added the section 'Different types of clustering algorithms and their references' on the [[Clustering_Old Kiwi]] page. | * 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]] | * 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]] | ||
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[[User:jinyoung|Jinyoung Kim]] | [[User:jinyoung|Jinyoung Kim]] | ||
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* 2008/04/12 -- Describe algorithms to find minimum spanning tree - Prim & Kruskal & Comparison [[Lecture 24_Old Kiwi]] [[Clustering and Hierarchical Clustering_Old Kiwi]] [[Discussion_Old Kiwi]] | * 2008/04/12 -- Describe algorithms to find minimum spanning tree - Prim & Kruskal & Comparison [[Lecture 24_Old Kiwi]] [[Clustering and Hierarchical Clustering_Old Kiwi]] [[Discussion_Old Kiwi]] | ||
* 2008/04/12 -- Add a link to download Matlab code to find MST [[Lecture 23_Old Kiwi]] [[Spanning Trees_Old Kiwi]] [[Discussion_Old Kiwi]] | * 2008/04/12 -- Add a link to download Matlab code to find MST [[Lecture 23_Old Kiwi]] [[Spanning Trees_Old Kiwi]] [[Discussion_Old Kiwi]] | ||
[[User:jcillier|Johannes Cilliers]] | [[User:jcillier|Johannes Cilliers]] | ||
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* 2008/04/08 -- started [[Lecture 23 - Spanning Trees_Old Kiwi]]with definitions of terms | * 2008/04/08 -- started [[Lecture 23 - Spanning Trees_Old Kiwi]]with definitions of terms | ||
[[User:yoder2|Josiah Yoder]] | [[User:yoder2|Josiah Yoder]] | ||
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* 2008/04/17 -- Added a page on [[Bayes classification_Old Kiwi]]. Started copying material from pertinent lectures | * 2008/04/17 -- Added a page on [[Bayes classification_Old Kiwi]]. Started copying material from pertinent lectures | ||
* 2008/04/17 -- Converted my TeX notes with [[latex2wiki_Old Kiwi]] to complete the text [[Lecture_26_-_Statistical_Clustering_Methods_Old Kiwi]], particularly | * 2008/04/17 -- Converted my TeX notes with [[latex2wiki_Old Kiwi]] to complete the text [[Lecture_26_-_Statistical_Clustering_Methods_Old Kiwi]], particularly | ||
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[[User:gong1|Jungtag Gong]] | [[User:gong1|Jungtag Gong]] | ||
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* 2008/04/12 -- Created related websites and linked the websites of MST,Prim,Kruskal,Baruvka algorithms in [[Lecture_24_-Clustering_and_Hierarchical_Clustering_Old Kiwi]]. | * 2008/04/12 -- Created related websites and linked the websites of MST,Prim,Kruskal,Baruvka algorithms in [[Lecture_24_-Clustering_and_Hierarchical_Clustering_Old Kiwi]]. | ||
[[User:kng|KaKi Ng]] | [[User:kng|KaKi Ng]] | ||
| − | * 2008/04/07 -- Added references to [[Decision Tree_Old Kiwi]] | + | * 2008/04/07 -- Added references to [[Decision Tree_Old Kiwi]] -> To be considered for week (april 7- april 18) |
[[User:han1|Kihwan Han]] | [[User:han1|Kihwan Han]] | ||
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* 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 [[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) | ||
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[[User:huffmalm|Landis Huffman]] | [[User:huffmalm|Landis Huffman]] | ||
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* 2008/04/10 -- Created a page [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi]]. Created diagrams to illustrate the various means of representation of hierarchical clustering and included them on the page. | * 2008/04/10 -- Created a page [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi]]. Created diagrams to illustrate the various means of representation of hierarchical clustering and included them on the page. | ||
* 2008/04/10 -- Posted my code for the [Bayes_Decision_Rule] video and linked to the code on that page. Also linked [[Lecture_6_-_Discriminant_Functions_Old Kiwi]] on the page. | * 2008/04/10 -- Posted my code for the [Bayes_Decision_Rule] video and linked to the code on that page. Also linked [[Lecture_6_-_Discriminant_Functions_Old Kiwi]] on the page. | ||
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[[User:lbachega|Leonardo Bachega]] | [[User:lbachega|Leonardo Bachega]] | ||
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* 2008/04/18 -- Wrote the article on [[Spectral Methods_Old Kiwi]] and the article on[[PCA: Principal Component Analysis]], linked the pre-existing [[Fisher Linear Discriminant_Old Kiwi]] to the Spectral Methods page and added references in the PCA page as well as drew the figure. | * 2008/04/18 -- Wrote the article on [[Spectral Methods_Old Kiwi]] and the article on[[PCA: Principal Component Analysis]], linked the pre-existing [[Fisher Linear Discriminant_Old Kiwi]] to the Spectral Methods page and added references in the PCA page as well as drew the figure. | ||
[[User:guptam|Madhur Gupta]] | [[User:guptam|Madhur Gupta]] | ||
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* 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. | * 2008/04/08 -- 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. | * 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. | ||
[[User:Mboschru|Marc Bosch]] | [[User:Mboschru|Marc Bosch]] | ||
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* 2008/04/10 -- Added two papers in [[Publications_Old Kiwi]] that we discussed on class by B. King and S. Johnson. | * 2008/04/10 -- Added two papers in [[Publications_Old Kiwi]] that we discussed on class by B. King and S. Johnson. | ||
* 2008/04/10 -- Created in the [[Clustering_Old Kiwi]] section in course topics the page for [[Fuzzy C-means_Old Kiwi]]. | * 2008/04/10 -- Created in the [[Clustering_Old Kiwi]] section in course topics the page for [[Fuzzy C-means_Old Kiwi]]. | ||
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[[User:nbedwell|Neil Bedwell]] | [[User:nbedwell|Neil Bedwell]] | ||
* 2008/04/12 -- Added the remainder of notes to [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]], including LaTex. | * 2008/04/12 -- Added the remainder of notes to [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]], including LaTex. | ||
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[[User:rsriniva|Rahul Srinivasa Raghavan]] | [[User:rsriniva|Rahul Srinivasa Raghavan]] | ||
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* 2008/04/13 -- Ported over all materials, including PDF's pertaining to ECE 301, for [[2nd Exam_Old Kiwi]] | * 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. | * 2008/04/13 -- Transferred all the contents of [[3rd Exam_Old Kiwi]] from old kiwi to the new one. | ||
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[[User:sraghav|Saranya Raghavan]] | [[User:sraghav|Saranya Raghavan]] | ||
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* 2008/04/16 -- Added a page on [[Clustering Algorithms_Old Kiwi]], explaining the types of clustering methods and links to software | * 2008/04/16 -- Added a page on [[Clustering Algorithms_Old Kiwi]], explaining the types of clustering methods and links to software | ||
[[User:park200|Seong Jun Park]] | [[User:park200|Seong Jun Park]] | ||
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* 2008/04/10 -- Added lecture and figures of spanning tree example in Lecture 23. | * 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. | * 2008/04/10 -- Linked the several glossaries used in the graph theory. | ||
[[User:hu|Shuowen Hu]] | [[User:hu|Shuowen Hu]] | ||
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* 2008/04/16 -- Created Figure 4 in Lecture 23 illustrating clustering with a graph theory approach | * 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 | * 2008/04/16 -- Added figure labels for all pictures in Lecture 23 | ||
[[User:svenkata|Singanallur V Venkatakrishnan]] | [[User:svenkata|Singanallur V Venkatakrishnan]] | ||
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* 2008/04/13 -- Created a page on [[Graph Algorithms_Old Kiwi]] | * 2008/04/13 -- Created a page on [[Graph Algorithms_Old Kiwi]] | ||
[[User:srudolph|Stephen Rudolph]] | [[User:srudolph|Stephen Rudolph]] | ||
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* 2008/04/10 -- Created a category page for [[:Category:ECE662_Old Kiwi]] and organized several pages under it. | * 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. | * 2008/04/17 -- Moved new assignment information from lecture notes to dedicated [[Homework 3_Old Kiwi]] page and updated the information. | ||
[[User:tha|Thanh Huy Ha]] | [[User:tha|Thanh Huy Ha]] | ||
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* 2008/04/17 -- Created the page [[Leave-one-out Cross Validation_Old Kiwi]], a technique which helps us to choose the model for KNN or ANN claissification method. | * 2008/04/17 -- Created the page [[Leave-one-out Cross Validation_Old Kiwi]], a technique which helps us to choose the model for KNN or ANN claissification method. | ||
[[User:tchen|Thomas Chen]] | [[User:tchen|Thomas Chen]] | ||
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* 2008/04/08 -- Edited Lecture 23 - Created animated image ECE662_lect23.gif and created example in lecture notes | * 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 | * 2008/04/10 -- Edited Lecture 24 - Added notes from agglomerate algorithms for hierarchical clustering | ||
[[User:chuangt|Tzu-Cheng Chuang]] | [[User:chuangt|Tzu-Cheng Chuang]] | ||
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* 2008/04/10 -- Added the course note and diagrams to [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]] which are started from Minimum Spanning Tree Methods (MST) to Fig.2. | * 2008/04/10 -- Added the course note and diagrams to [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]] which are started from Minimum Spanning Tree Methods (MST) to Fig.2. | ||
* 2008/04/17 -- Edited [[Lecture 26 - Statistical Clustering Methods_Old Kiwi| Lecture 26]] by adding figure 1 and figure 3. | * 2008/04/17 -- Edited [[Lecture 26 - Statistical Clustering Methods_Old Kiwi| Lecture 26]] by adding figure 1 and figure 3. | ||
[[User:ynimmaga|Yamini Nimmagadda]] | [[User:ynimmaga|Yamini Nimmagadda]] | ||
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* 2008/04/11 -- Added the definitions of [[Minimum Spanning Trees_Old Kiwi]], [[Prim's Algorithm_Old Kiwi]] and [[Kruskal's Algorithm_Old Kiwi]] to [[Glossary_Old Kiwi]] | * 2008/04/11 -- Added the definitions of [[Minimum Spanning Trees_Old Kiwi]], [[Prim's Algorithm_Old Kiwi]] and [[Kruskal's Algorithm_Old Kiwi]] to [[Glossary_Old Kiwi]] | ||
* 2008/04/11 -- Added [[Video Classification - State of the Art_Old Kiwi]] in [[Applications of Pattern Recognition_Old Kiwi]] | * 2008/04/11 -- Added [[Video Classification - State of the Art_Old Kiwi]] in [[Applications of Pattern Recognition_Old Kiwi]] | ||
[[User:mndoye|Mandoye Ndoye]] | [[User:mndoye|Mandoye Ndoye]] | ||
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* 2008/04/16- Added subsection THE NEYMAN PEARSON FRAMEWORK to the [[Bayesian Decision Theory_Old Kiwi]]. | * 2008/04/16- Added subsection THE NEYMAN PEARSON FRAMEWORK to the [[Bayesian Decision Theory_Old Kiwi]]. | ||
* 2008/04/16- Added subsection A BAYES CLASSIFIER EXAMPLE to the [[Bayesian Decision Theory_Old Kiwi]]. | * 2008/04/16- Added subsection A BAYES CLASSIFIER EXAMPLE to the [[Bayesian Decision Theory_Old Kiwi]]. | ||
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[[User:su0|Yun-ting Su]] | [[User:su0|Yun-ting Su]] | ||
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* 2008/04/16 -- Created Figure 7 in [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]] illustrating Farthesr Neighbor distance with similarity scale | * 2008/04/16 -- Created Figure 7 in [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]] illustrating Farthesr Neighbor distance with similarity scale | ||
* 2008/04/16 -- Added figure labels following by orderes for all pictures in [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]] | * 2008/04/16 -- Added figure labels following by orderes for all pictures in [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]] | ||
Revision as of 13:38, 20 April 2008
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
- 2008/04/17 -- Add link and contens for ISODATA clustering method
- 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.
- 2008/04/08 -- Added partial class notes for Lecture 23 - Spanning Trees_Old Kiwi Graphical Clustering Methods_Old Kiwi
- 2008/04/08 -- Added partial class notes for Lecture 23 - Spanning Trees_Old Kiwi Graph Theory Clustering_Old Kiwi
- 2008/04/17 -- Added last part of Lecture on 26 Statistical Clustering Methods_Old Kiwi
- 2008/04/17 -- Moved old pages and/or created new pages for the Glossary_Old Kiwi items: Likelihood Principle_Old Kiwi, Linear Discriminant Functions (LDF)_Old Kiwi, Manhattan Distance_Old Kiwi, Minkowski Metric_Old Kiwi, MLE_Old Kiwi, Nonparametric regression/density estimation_Old Kiwi, Non-parametric Model_Old Kiwi, Overfitting_Old Kiwi, Parameter Estimation_Old Kiwi, Parametric Model_Old Kiwi, Patterns_Old Kiwi, Parzen Window_Old Kiwi, Penalty Methods_Old Kiwi, Posterior_Old Kiwi, Principal Component Analysis_Old Kiwi.
- 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
- 2008/04/12 -- Describe algorithms to find minimum spanning tree - Prim & Kruskal & Comparison Lecture 24_Old Kiwi Clustering and Hierarchical Clustering_Old Kiwi Discussion_Old Kiwi
- 2008/04/12 -- Add a link to download Matlab code to find MST Lecture 23_Old Kiwi Spanning Trees_Old Kiwi Discussion_Old Kiwi
- 2008/04/08 -- started Lecture 23 - Spanning Trees_Old Kiwiwith definitions of terms
- 2008/04/17 -- Added a page on Bayes classification_Old Kiwi. Started copying material from pertinent lectures
- 2008/04/17 -- Converted my TeX notes with latex2wiki_Old Kiwi to complete the text Lecture_26_-_Statistical_Clustering_Methods_Old Kiwi, particularly
Clustering, Statistical Clustering Methods, and Clustering by finding valleys of densities. Further discussion and figures would still be helpful.
- 2008/04/12 -- Created related websites and linked the websites of MST,Prim,Kruskal,Baruvka algorithms in Lecture_24_-Clustering_and_Hierarchical_Clustering_Old Kiwi.
- 2008/04/07 -- Added references to Decision Tree_Old Kiwi -> To be considered for week (april 7- april 18)
- 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 Lecture 25 - Clustering Algorithms_Old Kiwi (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15)
- 2008/04/10 -- Created a page Lecture_24_-_Clustering_and_Hierarchical_Clustering_Old Kiwi. Created diagrams to illustrate the various means of representation of hierarchical clustering and included them on the page.
- 2008/04/10 -- Posted my code for the [Bayes_Decision_Rule] video and linked to the code on that page. Also linked Lecture_6_-_Discriminant_Functions_Old Kiwi on the page.
- 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.
- 2008/04/18 -- Wrote the article on Spectral Methods_Old Kiwi and the article onPCA: Principal Component Analysis, linked the pre-existing Fisher Linear Discriminant_Old Kiwi to the Spectral Methods page and added references in the PCA page as well as drew the 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.
- 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.
- 2008/04/10 -- Added two papers in Publications_Old Kiwi that we discussed on class by B. King and S. Johnson.
- 2008/04/10 -- Created in the Clustering_Old Kiwi section in course topics the page for Fuzzy C-means_Old Kiwi.
- 2008/04/12 -- Added the remainder of notes to Lecture 24 Minimum Spanning Tree Methods (MST), including LaTex.
- 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.
- 2008/04/18 -- Added an example of image segmentation using a nearest neighbors algorithm with my results and a link to the laboratory.
- 2008/04/16 -- Added a page on Clustering Algorithms_Old Kiwi, explaining the types of clustering methods and links to software
- 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.
- 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
- 2008/04/13 -- Created a page on Graph Algorithms_Old Kiwi
- 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.
- 2008/04/17 -- Created the page Leave-one-out Cross Validation_Old Kiwi, a technique which helps us to choose the model for KNN or ANN claissification method.
- 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
- 2008/04/10 -- Added the course note and diagrams to Lecture 24 Minimum Spanning Tree Methods (MST) which are started from Minimum Spanning Tree Methods (MST) to Fig.2.
- 2008/04/17 -- Edited Lecture 26 by adding figure 1 and figure 3.
- 2008/04/11 -- Added the definitions of Minimum Spanning Trees_Old Kiwi, Prim's Algorithm_Old Kiwi and Kruskal's Algorithm_Old Kiwi to Glossary_Old Kiwi
- 2008/04/11 -- Added Video Classification - State of the Art_Old Kiwi in Applications of Pattern Recognition_Old Kiwi
- 2008/04/16- Added subsection THE NEYMAN PEARSON FRAMEWORK to the Bayesian Decision Theory_Old Kiwi.
- 2008/04/16- Added subsection A BAYES CLASSIFIER EXAMPLE to the Bayesian Decision Theory_Old Kiwi.
- 2008/04/16 -- Created Figure 7 in Lecture 24 Minimum Spanning Tree Methods (MST) illustrating Farthesr Neighbor distance with similarity scale
- 2008/04/16 -- Added figure labels following by orderes for all pictures in Lecture 24 Minimum Spanning Tree Methods (MST)
