[R] Cluster Analysis

[Alekseiy Beloshitskiy]

Hi, Taisa,

It depends on many paramfactors, e.g. nature of your data, volume of data set etc.

The analog of SAS fastclus in R - kmeans (for practical example check slide #35 here:
 http://www.slideshare.net/whitish/textmining-with-r)

Check also  kmedoids (pam) and hclust.

Good luck,
-Alex

________________________________________
From: r-help-bounces at r-project.org [r-help-bounces at r-project.org] on behalf of Taisa Brown [taisa.brown at unb.ca]
Sent: 15 April 2012 03:28
To: r-help at r-project.org
Subject: [R] Cluster Analysis

Hi,

I was wondering what the best equivalent to SAS's FASTCLUS and PROC CLUSTER would be.  I need to be able to test the significance of the clusters by comparing the probability of obtaining an equal or greater pseudo F to the Bonferroni-corrected level. I will also need to plot r squared against the number of clusters.

Thanks so much,

Taisa

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