Posts Tagged ‘ K-means Clustering ’

Implementing Gap statistic for clustering number estimation

January 22, 2010
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Gap statistic is a method used to estimate the most possible number of clusters in a partition clustering, noticeablly k-means clustering. This measurement was originated by Trevor Hastie, Robert Tibshirani, and Guenther Walther, all from Standford U...
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Clustering Handwirtten Digits (digitalized optical images)

December 12, 2009
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In this example, we show the a clustering exercise on Optical Recognition of Handwritten Digits Data Set available @ UCI data set repository (Link). This exercise is a standard application of HOSVD by stacking 8X8 matrix of digitalized&nbs...
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