[R] Cluster Analysis: Density-Based Method

[Liaw, Andy]

> From: Martin Maechler
> 
> >>>>> "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


Yes.  However, after reading
ftp://ftp.stat.rice.edu/pub/scottdw/TECH/ipra.ps (David Scott's `From
Kernels to Mixtures' published in Technometrics in 2000, I believe the Tukey
memorial issue) I thought the line between kernel densities and mixture
models is rather gray...

Best,
Andy

>     >> 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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