From: Andrew C. Ward (firstname.lastname@example.org)
Date: Wed 30 Apr 2003 - 10:43:12 EST
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
Department of Chemical Engineering
The University of Queensland
Brisbane Qld 4072 Australia
Quoting "Hector L. Ayala-del-Rio" <email@example.com>:
> Hi R helpers,
> I was wondering if anybody knows if is possible to generate
> values for a cluster analysis in R. What I am trying to do is
> some confidence on the clusters formed by resampling the data set.
> 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.
> 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
> Rfirstname.lastname@example.org mailing list
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