[R] Cluster analysis and bootstraps

Andrew C. Ward s195404 at student.uq.edu.au
Wed Apr 30 02:43:12 CEST 2003

You could try function fanny() in package cluster. This function does
fuzzy clustering, and returns a coefficient for each object/cluster
of how fuzzy or crisp the clustering was.

It's hard to imagine bootstrapping a confidence interval around a
categorical value such as a cluster. Perhaps someone else can explain


Andrew C. Ward

CAPE Centre
Department of Chemical Engineering
The University of Queensland
Brisbane Qld 4072 Australia
andreww at cheque.uq.edu.au

Quoting "Hector L. Ayala-del-Rio" <ayalahec at msu.edu>:

> Hi R helpers,
>    I was wondering if anybody knows if is possible to generate
> bootstrap 
> values for a cluster analysis in R.  What I am trying to do is
> obtain 
> some confidence on the clusters formed by resampling the data set. 
> A 
> similar type of analysis is used in molecular taxonomy and the 
> confidence values of each cluster are placed in the nodes of the 
> dendogram.  Any ideas on how to do this in R will be appreciated.
> Thanks
> Héctor L. Ayala-del-Río, Ph.D.
> Center for Microbial Ecology &
> Center for Genomic and Evolutionary Studies
> on Microbial Life at Low Temperatures
> Michigan State University
> 545 Plant & Soil Sciences Building
> East Lansing, MI 48824-1325
> Phone: 517-353-9021
> Fax: 517-353-2917
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help

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