Tag: K-means Clustering

Implementing Gap statistic for clustering number estimation

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…

Clustering Handwirtten Digits (digitalized optical images)

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…

SVD Filtered Temporal Usage Pattern Analysis and Clustering

This post was kindly contributed by SAS Programming for Data Mining Applications – go there to comment and to read the full post. This post was kindly contributed by SAS Programming for Data Mining Applications – go there to comment…