Re: [R] Document clustering for R

From: Mulholland, Tom <Tom.Mulholland_at_dpi.wa.gov.au>
Date: Tue 13 Sep 2005 - 10:40:59 EST


I searched the help for "cosine distance" and this was the first hit http://finzi.psych.upenn.edu/R/Rhelp02a/archive/3946.html

Tom
> -----Original Message-----
> From: r-help-bounces@stat.math.ethz.ch
> [mailto:r-help-bounces@stat.math.ethz.ch]On Behalf Of Raymond K Pon
> Sent: Tuesday, 13 September 2005 3:48 AM
> To: r-help@stat.math.ethz.ch
> Subject: [R] Document clustering for R
>
>
> I'm working on a project related to document clustering. I
> know that R
> has clustering algorithms such as clara, but only supports
> two distance
> metrics: euclidian and manhattan, which are not very useful for
> clustering documents. I was wondering how easy it would be to
> extend the
> clustering package in R to support other distance metrics, such as
> cosine distance, or if there was an API for custom distance metrics.
>
> Best regards,
> Raymond Pon
> pon3@llnl.gov
> x43062
>
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Tue Sep 13 10:42:59 2005

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