Hierarchical Clustering in R

June 16, 2009

(This article was first published on Getting Genetics Done, and kindly contributed to R-bloggers)

Hierarchical clustering is a technique for grouping samples/data points into categories and subcategories based on a similarity measure. Being the powerful statistical package it is, R has several routines for doing hierarchical clustering. The basic command for doing HC is

hclust(d, method = “complete”, members=NULL)

Nearly all clustering approaches use a concept of distance. Data points

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