Message-ID: <D15343265276D31197BC00A024A6C110773FFF@EXS_BDC>
Date: 2003-04-24T11:14:33Z
From: Khamenia, Valery
Subject: estimating number of clusters ("Null or more")
Hi all,
once more about the old subj :-)
My data has too much various distribution families and for every
particular experiment
I need just to decide whether the data is "quite homogeneous" or it has
two or more
clusters. I've revisited the following libraries:
amap, clust, cclust, mclust, multiv, normix, survey.
And I didn't find any ready-to-use general purpose criterion for answering
the question whether the data is "quite homogeneous" or has two or more
clusters. Even for one dimension data.
However, in "cclust" a "clustIndex" might be used as a raw criteria.
But nothing ready to use as far as I understand. Or maybe I am wrong?!
Q: are there any libraries in R with ready-to-use functions for estimation
number of clusters...
- ... with criterion based on entropy?
- ... with criterion based on ecdf?
Please Cc to:
vkhamenia at biovision.de
kind thanks.
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Valery A.Khamenya
Bioinformatics Department
BioVisioN AG, Hannover