Re: [R] How to create a dissimilarity object
Thank you, but what about dissimilarity matrix objects? Paul On Thu, Oct 14, 2010 at 5:30 PM, Peter Langfelder peter.langfel...@gmail.com wrote: 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 -- Paul Rigor http://www.ics.uci.edu/~prigor [[alternative HTML version deleted]] __ 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.
[R] How to create a dissimilarity object
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? Thanks in advance! Paul [[alternative HTML version deleted]] __ 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.
Re: [R] How to create a dissimilarity object
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.
