AW: [R] non-hierarchical non-exclusive clustering of large data sets

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From: TEMPL Matthias (Matthias.Templ@statistik.gv.at)
Date: Tue 25 May 2004 - 00:39:33 EST


Message-id: <83536658864BC243BE3C06D7E936ABD50153A5AA@xchg1.statistik.local>

I think the "cmeans" method in library(e1071) works better for large data sets as "fanny".

(note,not for this data: fanny has also problems with standardized large data sets - here produce fanny the same memberships for all observations; cmeans works "correctly")

Matthias

> -----Ursprüngliche Nachricht-----
> Von: Bhaskar S. Manda [mailto:bhaskar@cacmnet.com]
> Gesendet: Montag, 24. Mai 2004 17:12
> An: r-help@stat.math.ethz.ch
> Betreff: Re: [R] non-hierarchical non-exclusive clustering of
> large data sets
>
>
> On Mon, 24 May 2004 15:58:57 +0200, Murk Wuite wrote:
> > I'm trying to use R to cluster words with related meanings. Does
> > anyone know of a non-hierarchical clustering method in R
> that produces
> > non-exclusive clusters? With non-exclusive, I mean that words should
>
> The "fanny" method in library(cluster) outputs probabilities
> of membership in each cluster.
>
> > the one above, its dimensions would be in the order of (100000,
> > 100000). Does anyone know if this would cause practical problems,
> > perhaps very slow clustering?
>
> I had a much smaller matrix, 4000x3, fanny took about 4
> minutes wall clock time on a lightly loaded (there were many
> other processes, but none
> computational) 1.4 GHz Athlon, It was completely CPU-bound.
>
> --
> bhaskar
>
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