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== The ChangeLog ==
 
== The ChangeLog ==
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[[User:KyoHyouk|KyoHyouk Kim]]
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[[User:kim458|KyoHyouk Kim]]
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* 2008/04/17 -- Add link and contens for ISODATA clustering method
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* 2008/04/25  -- Addeda pattern recognition application field in remote sensing
 +
 
 +
[[User:akamra|Ashish Kamra]]
 +
* 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]]
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* 2008/04/28  -- Added link to an excellent survey paper on outlier detection methodologies [[Applications_of_Pattern_Recognition_OldKiwi]]
 +
* 2008/04/28  -- Added link to an application of one class classification in anomaly detection [[Applications_of_Pattern_Recognition_OldKiwi]]
  
 
[[User:Bsisman|Bunyamin Sisman]]
 
[[User:Bsisman|Bunyamin Sisman]]
−
* 2008/04/13 -- Added some explanations, links and a animated gif for Minimum spanning tree algorithms to lecture 24.
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* 2008/04/24  -- Added a page with some figures for [https://balthier.ecn.purdue.edu/index.php/Mixture_Models Mixture Models] to Glossary
−
* 2008/04/16 -- Added some explanations to Farthest Neighbor Algorithm.
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* 2008/04/17 -- Created a page and added descriptions with figures for Expectation maximization.
+
  
 
[[User:wlunga|Dalton Lunga]]
 
[[User:wlunga|Dalton Lunga]]
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* 2008/04/08  -- Added partial class notes for Lecture 23 - [[Spanning Trees‎_OldKiwi]] [[Graphical Clustering Methods_OldKiwi]]
 
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* 2008/04/08  -- Added partial class notes for Lecture 23 - [[Spanning Trees‎_OldKiwi]] [[Graph Theory Clustering_OldKiwi]]
 
 
* 2008/04/17  -- Added last part of Lecture on 26 [[Statistical Clustering Methods_OldKiwi]]
 
* 2008/04/17  -- Added last part of Lecture on 26 [[Statistical Clustering Methods_OldKiwi]]
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* 2008/04/24  -- Added more notes on clustering algorithms
 +
* 2008/04/24  -- Added link to clustering paper(Clustering Sequences with HMM)[[Clustering Sequences_OldKiwi]]
  
 
[[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_OldKiwi]] items: [[Likelihood Principle_OldKiwi]], [[Linear Discriminant Functions (LDF)_OldKiwi]], [[Manhattan Distance_OldKiwi]], [[Minkowski Metric_OldKiwi]], [[MLE_OldKiwi]], [[Nonparametric regression/density estimation_OldKiwi]], [[Non-parametric Model_OldKiwi]], [[Overfitting_OldKiwi]], [[Parameter Estimation_OldKiwi]], [[Parametric Model_OldKiwi]], [[Patterns_OldKiwi]], [[Parzen Window_OldKiwi]], [[Penalty Methods_OldKiwi]], [[Posterior_OldKiwi]], [[Principal Component Analysis_OldKiwi]].
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* 2008/04/24 -- Created new pages or moved old pages for the [[Glossary_OldKiwi]] items: [[Euclidean Distance (ED)_OldKiwi]], [[Generalized Rayleigh Quotient_OldKiwi]], [[KNN-K Nearest Neighbor_OldKiwi]], [[Partial Differential Equations (PDE)_OldKiwi]], [[Prior_OldKiwi]], [[Pruning_OldKiwi]], [[Quadratic Programming Problem_OldKiwi]], [[Reinforcement learning_OldKiwi]], [[Slack Variable_OldKiwi]], [[Taxicab Distance_OldKiwi]], [[Testing_OldKiwi]], [[Training_OldKiwi]], [[Unbiased Estimator_OldKiwi]], [[Uninformative Prior_OldKiwi]], [[Unsupervised learning_OldKiwi]].
  
 
[[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_OldKiwi]] 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_OldKiwi]]) principle. Click here -->> [[MDL_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]]
  
−
[[User:jinyoung|Jinyoung Kim]]
+
[[User:Jinyoung1|Jinyoung Kim]]
−
* 2008/04/12 -- Describe algorithms to find minimum spanning tree - Prim & Kruskal & Comparison [[Lecture 24_OldKiwi]] [[Clustering and Hierarchical Clustering_OldKiwi]] [[Discussion_OldKiwi]]  
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* 2008/04/24 -- Summarize a paper which employs Neural Netowrk in calibrating scanners [[Artificial Neural Networks_OldKiwi]]- Application of Neural Networks to Color Calibration
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* 2008/04/12 -- Add a link to download Matlab code to find MST [[Lecture 23_OldKiwi]] [[Spanning Trees_OldKiwi]] [[Discussion_OldKiwi]]
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* 2008/04/24 -- Describe my experiences on Neural Network to detect sonar singlas in sea [[Talk:Artificial Neural Networks_OldKiwi]]
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+
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[[User:jcillier|Johannes Cilliers]]
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−
* 2008/04/08 -- started [[Lecture 23 - Spanning Trees_OldKiwi]]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_OldKiwi]].  Started copying material from pertinent lectures
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* 2008/04/24 -- Added the text and equations for [[Lecture 28 - Final lecture_OldKiwi]]. There are lots of figures that still need to be created!
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* 2008/04/17 -- Converted my TeX notes with [[latex2wiki_OldKiwi]] to complete the text [[Lecture_26_-_Statistical_Clustering_Methods_OldKiwi]], particularly
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−
[[Lecture_26_-_Statistical_Clustering_Methods_OldKiwi#Clustering|Clustering]], [[Lecture_26_-_Statistical_Clustering_Methods_OldKiwi#Statistical_Clustering_Methods|Statistical Clustering Methods]], and [[Lecture_26_-_Statistical_Clustering_Methods_OldKiwi#Clustering_by_finding_valleys_of_densities|Clustering by finding valleys of densities]]. Further discussion and figures would still be helpful.
+
  
 
[[User:gong1|Jungtag Gong]]
 
[[User:gong1|Jungtag Gong]]
−
* 2008/04/12 -- Created related websites and linked the websites of MST,Prim,Kruskal,Baruvka algorithms in [[Lecture_24_-Clustering_and_Hierarchical_Clustering_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]].
−
 
+
−
[[User:kng|KaKi Ng]]
+
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* 2008/04/07 -- Added references to [[Decision Tree_OldKiwi]]  -> 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_OldKiwi]] (All texts and Figure 3-1, 3-2, and 3-3 of Graphical clustering methods)
 
 
* 2008/04/16 -- Created [[Lecture 25 - Clustering Algorithms_OldKiwi]] (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15)
 
* 2008/04/16 -- Created [[Lecture 25 - Clustering Algorithms_OldKiwi]] (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_OldKiwi]] and filled in section  (PDE based valley seeking) all texts and equations (3-1) ~ (3-30)
 +
  
 +
[[User:kng|Kaki Ng]]
 +
* 2008/04/21 -- Added a reference library for tools
  
 
[[User:huffmalm|Landis Huffman]]
 
[[User:huffmalm|Landis Huffman]]
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* 2008/04/10 -- Created a page [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_OldKiwi]].  Created diagrams to illustrate the various means of representation of hierarchical clustering and included them on the page.
 
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* 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_OldKiwi]] on the page.
 
 
* 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.
 
* 2008/04/17 -- 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.
 +
* 2008/04/25 -- Created diagrams for [[Lecture_28_-_Final_lecture_OldKiwi]] showing the dromadaire turning into a chamaeu.  If I knew how, I would have mediaWiki resize these images.  Ugh!
  
 
[[User:lbachega|Leonardo Bachega]]
 
[[User:lbachega|Leonardo Bachega]]
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* 2008/04/18 -- Wrote the article on  [[Spectral Methods_OldKiwi]] and the article on[[PCA: Principal Component Analysis]], linked the pre-existing [[Fisher Linear Discriminant_OldKiwi]] to the Spectral Methods page and added references in the PCA page as well as drew the figure.
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* 2008/04/20 -- Created whole article about Multidimensional Scaling ([[MDS_OldKiwi]]). Formated all equations in Latex and added references.
 +
* 2008/04/28 -- Create article about non-linear spectral methods [[Nonlinear Methods: When Data Embedded in Low-Dimensional Non-Linear Manifold_OldKiwi]], and added the articles for [[Isomaps_OldKiwi]] and [[Laplacian Eigenmaps_OldKiwi]].
  
 
[[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_OldKiwi]], 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_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.
 
* 2008/04/16 -- 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.
 +
* 2008/04/22 -- Added lecture notes for [[Lecture 27 - Clustering by finding valleys of densities_OldKiwi]] 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.
  
 
[[User:Mboschru|Marc Bosch]]
 
[[User:Mboschru|Marc Bosch]]
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* 2008/04/10 -- Added two papers in [[Publications_OldKiwi]] that we discussed on class by B. King and S. Johnson.
 
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* 2008/04/10 -- Created in the [[Clustering_OldKiwi]] section in course topics the page for [[Fuzzy C-means_OldKiwi]].
 
 
* 2008/04/20 -- Added four papers in [[Publications_OldKiwi]] about Optimization-based clustering methods.
 
* 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 two papers in [[Publications_OldKiwi]] about Hierarchical Clustering Methods.
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* 2008/04/20 --  Added two papers in [[Publications_OldKiwi]] about Grid-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 -- Added two papers in [[Publications_OldKiwi]] about Graph-based Clustering Methods.
 +
 
[[User:nbedwell|Neil Bedwell]]
 
[[User:nbedwell|Neil Bedwell]]
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* 2008/04/12 -- Added the remainder of notes to [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_OldKiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]], including LaTex.
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* 2008/04/23 -- Corrected LaTex equations in [[Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window)_OldKiwi]], so that all are now correctly displayed.  
  
−
[[User:rsriniva|Rahul Srinivasa Raghavan]]
+
[[User:Qxia|Qian Xia]]
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* 2008/04/13 -- Ported over all materials, including PDF's pertaining to ECE 301, for [[2nd Exam_OldKiwi]]
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* 2008/04/19 -- Add a comment in discussion of [[Lecture 23 - Spanning Trees_OldKiwi]] on the definition of path given in class.
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* 2008/04/13 -- Transferred all the contents of [[3rd Exam_OldKiwi]] from old kiwi to the new one.
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* 2008/04/21 -- Edited [[Lecture 26 - Clustering Algorithms_OldKiwi]] by adding the section on advantages of "partitional clustering".
 +
* 2008/04/21 -- Edited [[Lecture 27 - Statistical Clustering Methods_OldKiwi]] by adding the section on how the separation rule obtained by mixture of Gaussians model can be generalized to future unseen data.
  
−
[[User:slitkouh|Sahm Litkouhi]]
+
[[User:Rsriniva|Rahul Srinivasa Raghavan]]
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* 2008/04/18 -- Added an [[Image Segmentation Lab_OldKiwi| example]] of image segmentation using a nearest neighbors algorithm with my results and a link to the laboratory.
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* 2008/04/20 -- Added a new page on [[Influence Map_OldKiwi]], and added materials under the same.
−
 
+
−
[[User:sraghav|Saranya Raghavan]]
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−
* 2008/04/16 -- Added a page on [[Clustering Algorithms_OldKiwi]], 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.
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* 2008/04/21 -- Added and modified the square error in Lecture 26 Statistical clustering methods.
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* 2008/04/10 -- Linked the several glossaries used in the graph theory.  
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* 2008/04/21 -- Added an image about Defining Distances Between Clusters in Lecture 24.
 +
*  2008/04/26 -- Added two images about of Valley Seeking, and modified an equation to be wrong in Lecture 27.
 +
*  2008/04/26 -- Added part of an equation and bayes error rate graph for Nearest Neighbor in Lecture 19.
 +
 
  
 
[[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
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* 2008/04/20 -- Created Figure 5 in Lecture 25 illustrating natural clustering using the value of J.
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* 2008/04/16 -- Added figure labels for all pictures in Lecture 23
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* 2008/04/20 -- Added Figure 6 in Lecture 25 showing that squared error criterion is good for compact clusters, but sensitive to outliers.
  
−
[[User:svenkata|Singanallur V Venkatakrishnan]]
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[[User:slitkouh|Sahm Litkouhi]]
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* 2008/04/13 -- Created a page on [[Graph Algorithms_OldKiwi]]
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* 2008/04/24 -- Added example and link to a paper I authored about 3 feature-based automotive [[Feature Extraction_OldKiwi|lane recognition]].
 +
* 2008/04/24 -- Moved [[Backpropagation Learning Algorithm_OldKiwi]] from old Kiwi to new glossary.
 +
* 2008/04/24 -- Added link to ROC curves in glossary.  Moved [[Regularization_OldKiwi]] from the old Kiwi into glossary, and added link from [[Overfitting_OldKiwi]].
 +
 
 +
 
 +
[[User:sraghav|Saranya Raghavan]]
 +
* 2008/04/25 -- Added Figure 1 (Simple Clustering Example) and Figure 2 (Effect of Relative Scaling) to [[Clustering_OldKiwi]] page, and provided a brief description of each figure in relation to the concepts being discussed.
  
 
[[User:srudolph|Stephen Rudolph]]
 
[[User:srudolph|Stephen Rudolph]]
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* 2008/04/10 -- Created a category page for [[:Category:ECE662_OldKiwi]] and organized several pages under it.
 
 
* 2008/04/17 -- Moved new assignment information from lecture notes to dedicated [[Homework 3_OldKiwi]] page and updated the information.
 
* 2008/04/17 -- Moved new assignment information from lecture notes to dedicated [[Homework 3_OldKiwi]] page and updated the information.
 +
 +
[[User:svenkata|Singanallur Venkatakrishnan]]
 +
* 2008/04/20 -- [[Topological Sort and Strongly Connected Components_OldKiwi]] page added in continuation to my earlier page on graph algos
  
 
[[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_OldKiwi]], a technique which helps us to choose the model for KNN or ANN claissification method.
+
* 2008/04/25 -- Created the page [[Recommendations for nonlinear discrimination methods_OldKiwi]].
  
 
[[User:tchen|Thomas Chen]]
 
[[User:tchen|Thomas Chen]]
−
* 2008/04/08 -- Edited Lecture 23 - Created animated image ECE662_lect23.gif and created example in lecture notes
+
* 2008/04/23 -- Created animated gif ECE662_lect27_smear.gif for lecture 27
−
* 2008/04/10 -- Edited Lecture 24 - Added notes from agglomerate algorithms for hierarchical clustering
+
* 2008/04/23 -- Added PDE's to the glossary
  
 
[[User:chuangt|Tzu-Cheng Chuang]]
 
[[User:chuangt|Tzu-Cheng Chuang]]
−
* 2008/04/10 -- Added the course note and diagrams to [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_OldKiwi# 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_OldKiwi| Lecture 26]] by adding figure 1 and figure 3.
 
* 2008/04/17 -- Edited [[Lecture 26 - Statistical Clustering Methods_OldKiwi| Lecture 26]] by adding figure 1 and figure 3.
 +
* 2008/04/22 -- Edited [[Lecture_27_-_Clustering_by_finding_valleys_of_densities _OldKiwi| Lecture 27]] by adding figure 1,2 and 3.
  
 
[[User:ynimmaga|Yamini Nimmagadda]]
 
[[User:ynimmaga|Yamini Nimmagadda]]
−
* 2008/04/11 -- Added the definitions of [[Minimum Spanning Trees_OldKiwi]], [[Prim's Algorithm_OldKiwi]] and [[Kruskal's Algorithm_OldKiwi]] to [[Glossary_OldKiwi]]
+
* 2008/04/25 -- Added Links for papers and tutorials on k-means clustering in [[Publications_OldKiwi]] section of [[References_OldKiwi]].
−
* 2008/04/11 -- Added [[Video Classification - State of the Art_OldKiwi]] in [[Applications of Pattern Recognition_OldKiwi]]
+
* 2008/04/25 -- Added [[Neural Networks using Genetic Algorithms_OldKiwi]]
−
 
+
−
[[User:mndoye|Mandoye Ndoye]]
+
−
* 2008/04/16- Added subsection THE NEYMAN PEARSON FRAMEWORK  to the [[Bayesian Decision Theory_OldKiwi]].
+
−
* 2008/04/16- Added subsection A BAYES CLASSIFIER EXAMPLE to the [[Bayesian Decision Theory_OldKiwi]].
+
  
 +
[[User:su0|Yun-Ting Su]]
  
−
[[User:su0|Yun-ting Su]]
+
* 2008/04/20 -- Added Figure 3 in [[Lecture 25 - Clustering Algorithms_OldKiwi]] illustrating how projections effect the result of clustering.
−
* 2008/04/16 -- Created Figure 7 in [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_OldKiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]] illustrating Farthesr Neighbor distance with similarity scale
+
* 2008/04/20 -- Added Figure 4 in [[Lecture 25 - Clustering Algorithms_OldKiwi]] illustrating the algorithm for clustering from feature vectors.
−
* 2008/04/16 -- Added figure labels following by orderes for all pictures in [[Lecture_24_-_Clustering_and_Hierarchical_Clustering_OldKiwi# Minimum Spanning Tree Methods (MST)|Lecture 24 Minimum Spanning Tree Methods (MST)]]
+

Latest revision as of 12:21, 28 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

Bunyamin Sisman

The ChangeLog

KyoHyouk Kim

  • 2008/04/25 -- Addeda pattern recognition application field in remote sensing

Ashish Kamra

Bunyamin Sisman

  • 2008/04/24 -- Added a page with some figures for Mixture Models to Glossary

Dalton Lunga

Elvin Bernard

Gaurav Srivastava

  • 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

Jinyoung Kim

Josiah Yoder

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 at the clustering in the Glossary_OldKiwi.

Kihwan Han


Kaki Ng

  • 2008/04/21 -- Added a reference library for tools

Landis Huffman

  • 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.
  • 2008/04/25 -- Created diagrams for Lecture_28_-_Final_lecture_OldKiwi showing the dromadaire turning into a chamaeu. If I knew how, I would have mediaWiki resize these images. Ugh!

Leonardo Bachega

Madhur Gupta

  • 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.
  • 2008/04/22 -- Added lecture notes for Lecture 27 - Clustering by finding valleys of densities_OldKiwi 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.

Marc Bosch

Neil Bedwell

Qian Xia

Rahul Srinivasa Raghavan

Seong Jun Park

  • 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.
  • 2008/04/26 -- Added two images about of Valley Seeking, and modified an equation to be wrong in Lecture 27.
  • 2008/04/26 -- Added part of an equation and bayes error rate graph for Nearest Neighbor in Lecture 19.


Shuowen Hu

  • 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.

Sahm Litkouhi


Saranya Raghavan

  • 2008/04/25 -- Added Figure 1 (Simple Clustering Example) and Figure 2 (Effect of Relative Scaling) to Clustering_OldKiwi page, and provided a brief description of each figure in relation to the concepts being discussed.

Stephen Rudolph

  • 2008/04/17 -- Moved new assignment information from lecture notes to dedicated Homework 3_OldKiwi page and updated the information.

Singanallur Venkatakrishnan

Thanh Huy Ha

Thomas Chen

  • 2008/04/23 -- Created animated gif ECE662_lect27_smear.gif for lecture 27
  • 2008/04/23 -- Added PDE's to the glossary

Tzu-Cheng Chuang

  • 2008/04/17 -- Edited Lecture 26 by adding figure 1 and figure 3.
  • 2008/04/22 -- Edited Lecture 27 by adding figure 1,2 and 3.

Yamini Nimmagadda

Yun-Ting Su

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Sees the importance of signal filtering in medical imaging

Dhruv Lamba, BSEE2010