-----Urspr??ngliche Nachricht-----
Von: Bhaskar S. Manda [mailto:bhaskar at cacmnet.com]
Gesendet: Montag, 24. Mai 2004 17:12
An: r-help at 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
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