[R] Clustering partition and memory

[Vincent Stoliaroff]

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
>
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