[R] Cluster Analysis: Density-Based Method
Martin Maechler
maechler at stat.math.ethz.ch
Thu Oct 21 16:17:13 CEST 2004
>>>>> "AndyL" == Liaw, Andy <andy_liaw at merck.com>
>>>>> on Thu, 21 Oct 2004 09:18:54 -0400 writes:
AndyL> I'm no expert in this, but mclust is `density-based'
AndyL> because it estimates the density with a mixture of
AndyL> Gaussians. If this is not what you want, you should
AndyL> clarify what you mean by `density-based'. Do you
AndyL> mean an algorithm based on kernel estimator of the density?
yes, kernel or other "nonparametric" density estimator, is what
is usually meant in these contexts.
[ Of course, many "nonparametric" estimators can be seen to live
in finite-dimensional spaces, so the difference to an explicit
"flexible" / "high dimensional" method isn't that big.. ]
Martin
>> From: Fernando Prass
>>
>> Yes, but mclust don't have a density-based algorithm. Mclust
>> have the algorithm
>> BIC, that is a model-based method...
>>
>> Fernando Prass
>>
>> --- Kjetil Brinchmann Halvorsen <kjetil at acelerate.com> escreveu:
>> > Fernando Prass wrote:
>> >
>> > >Hi people,
>> > >
>> > >Does anybody know some Density-Based Method for clustering
>> implemented in R?
>> > >
>> > >
>> > Have you looked at CRAN package mclust?
>> >
>> > >Thanks,
>> > >
>> > >Fernando Prass
>>
>>
>>
>>
>>
>>
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AndyL> ______________________________________________
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