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==6. Supplementary Material==
 
==6. Supplementary Material==
 
*Clustering Algorithms  
 
*Clustering Algorithms  
**[[SlectureDavidRunyanCS662Spring14|text slecture in English]] by David Runyan
+
**[[2014_Spring_ECE_662_Boutin_Statistical_Pattern_recognition_slectures|text slecture in English]] by David Runyan
 
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Go to [[2014_Spring_ECE_662_Boutin|ECE662 Spring 2014 Course Wiki]]
 
Go to [[2014_Spring_ECE_662_Boutin|ECE662 Spring 2014 Course Wiki]]
  
 
Go to [https://www.projectrhea.org/learning/slectures.php Slecture Page]
 
Go to [https://www.projectrhea.org/learning/slectures.php Slecture Page]

Revision as of 07:34, 15 May 2014


The Boutin Lectures on Statistical Pattern Recognition

Multilingual Slectures by Students in the Spring 2014 Class of ECE662


0. Foreword by Professor Boutin

1. Background Material

2. Bayes Rule

3. Global (parametric) Density Estimation Methods

4. Local ("non-parametric") Density Estimation Methods

5. Linear Classifiers

6. Supplementary Material

  • Clustering Algorithms
    • text slecture in English by David Runyan

Go to ECE662 Spring 2014 Course Wiki

Go to Slecture Page

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood