Thanks. Clara() is performing well. I had a dataset of 7500 rows and the clustering was produced very quickly
From: "Adaikalavan Ramasamy" <[EMAIL PROTECTED]> To: "Vincent Stoliaroff" <[EMAIL PROTECTED]>,<[EMAIL PROTECTED]> 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:[EMAIL PROTECTED]] Sent: Sunday, February 09, 2003 7:33 PM To: [EMAIL PROTECTED] 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 ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
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