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Page history last edited by hoffman.tricia@gmail.com 9 years, 6 months ago

Here are the slides covering chap 8 from the text by Tan et. al.  chap8_basic_cluster_analysis.ppt


Here's the code that we went through in class. 

     kMeans Clustering:  kMeans.R

     Hierarchical Clustering:  hclustExample.R


Here are a couple of other clustering programs that we didn't cover in class.  You might be interested to see how they behave

     This example runs through an affinity clustering example:  apcluster.R

     This example runs through a mixture model example.  Mixture models can be stunningly powerful.  This one correctly classifies all but 5 of the iris data - without having class labels.  mclustExample.R


Homework 2

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