Message-ID: <1051663392.3eaf1c207f90b@my.uq.edu.au>
Date: 2003-04-30T00:43:12Z
From: Andrew C. Ward
Subject: Cluster analysis and bootstraps
In-Reply-To: <2D88364A-7A71-11D7-9CC9-000393DB5846@msu.edu>
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
this.
Regards,
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
>
> H?ctor L. Ayala-del-R?o, 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
>
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