Dear R-help list members i would like to use R to produce clustering or partitioning of a dataset. I am trying to use the functions: - hierclust() of the package multiv -pam(), agnes() and fanny() of the package cluster But I cannot get any result because of lack of memory. Would you know any clustering function not to greedy in memory? I have tried to expand my memory limit with memory.limit() but no significant results. Thank you for any answer that could help. Vincent
What distance metric are you using? See if clara() in cluster library etc is more appropriate. -----Original Message----- From: Vincent Stoliaroff [mailto:vsensae at hotmail.com] Sent: Sunday, February 09, 2003 7:33 PM To: r-help at stat.math.ethz.ch Subject: [R] Clustering partition and memory Dear R-help list members i would like to use R to produce clustering or partitioning of a dataset. I am trying to use the functions: - hierclust() of the package multiv -pam(), agnes() and fanny() of the package cluster But I cannot get any result because of lack of memory. Would you know any clustering function not to greedy in memory? I have tried to expand my memory limit with memory.limit() but no significant results. Thank you for any answer that could help. Vincent ______________________________________________ R-help at stat.math.ethz.ch mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
On 9 Feb 2003 at 11:33, Vincent Stoliaroff wrote: cluster have the function clara() "clustering large applications", written just to cluster large amounts of data. Did you try that? Kjetil Halvorsen> > > Dear R-help list members > > i would like to use R to produce clustering or partitioning of a dataset. > I am trying to use the functions: > - hierclust() of the package multiv > -pam(), agnes() and fanny() of the package cluster > > But I cannot get any result because of lack of memory. Would you know any > clustering function not to greedy in memory? > I have tried to expand my memory limit with memory.limit() but no > significant results. > > Thank you for any answer that could help. > Vincent > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > http://www.stat.math.ethz.ch/mailman/listinfo/r-help
Thanks. Clara() is performing well. I had a dataset of 7500 rows and the clustering was produced very quickly>From: "Adaikalavan Ramasamy" <gisar at nus.edu.sg> >To: "Vincent Stoliaroff" <vsensae at hotmail.com>,<r-help at stat.math.ethz.ch> >Subject: RE: [R] Clustering partition and memory >Date: Sun, 9 Feb 2003 19:50:24 +0800 > >What distance metric are you using? See if clara() in cluster library >etc is more appropriate. > >-----Original Message----- >From: Vincent Stoliaroff [mailto:vsensae at hotmail.com] >Sent: Sunday, February 09, 2003 7:33 PM >To: r-help at stat.math.ethz.ch >Subject: [R] Clustering partition and memory > > > > >Dear R-help list members > >i would like to use R to produce clustering or partitioning of a >dataset. I am trying to use the functions: >- hierclust() of the package multiv >-pam(), agnes() and fanny() of the package cluster > >But I cannot get any result because of lack of memory. Would you know >any >clustering function not to greedy in memory? >I have tried to expand my memory limit with memory.limit() but no >significant results. > >Thank you for any answer that could help. >Vincent > >______________________________________________ >R-help at stat.math.ethz.ch mailing list >http://www.stat.math.ethz.ch/mailman/listinfo/r-help