Cluster analysis and bootstraps
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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