On Thu, Oct 14, 2010 at 5:21 PM, Paul Rigor (ucla) <pr...@ucla.edu> wrote: > Hi all, > > I would like to use the fpc and cluster packages for clustering. However, I > would like to create a custom dissimilarity object using a library in > python. Has anyone attempted or know of a work-around for creating a > dissimilarity object from a csv file containing pair-wise distance measures?
It is simple. Put the distance matrix into a csv file, read it in as tab = read.csv(...) convert to a distance as dst = as.dist(as.matrix(tab)) then call your favorite clustering method. Here's what as.dist does on a matrix: mat = matrix(c(1:9), 3, 3) mat as.dist(mat) HTH, Peter ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
