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September 2006


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"Kejun (Kevin) Mei" <[log in to unmask]>
Reply To:
Classification, clustering, and phylogeny estimation
Fri, 15 Sep 2006 22:45:02 -0500
text/plain (73 lines)
I believe it is a shortcut to use an existing software to test
different algorithms, though eventually I have to implement
the most suitable one by myself. What you told are very
helpful. Thank you so much.


----- Original Message -----
From: "Art Kendall" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Friday, September 15, 2006 3:46 PM
Subject: Re: clustering with distance matrix as input

> Are you looking for existing software that does different kinds of
> hierarchical clustering? (different ways of deciding which pair of cases
> to combine.)
> SPSS,  SAS, Visual Numerics, NTCLUST, PYTHON SCILIB, etc., etc.  already
> have a wide variety of approaches.
> There are also many single algorithm programs.
> Are you looking for algorithms that you can implement in new software?
> go to
> click <login to online tech support> (left pane)
> click <login> (main pane)
> login as "guest" password "guest"  click "ok"
> click <statistics documentation> (left pane)
> click <algorithms> (main pane)
> click <proximities>  to see how a few dozen proximity/distance
> coefficients can be created.
> click <cluster>  to see about several kinds of hierarchical clustering
> click <TWOSTEP> to see about a nonhierarchical method
> click <quick cluster> to see about  k-means clustering.  This is a much
> older method than TWOSTEP.
> Hope this helps.  If it does not meet your needs, please give more
> detail about what you woud like to do.
> Art Kendall
> Social Research Consultants
> Kejun (Kevin) Mei wrote:
> >Can someone please tell me a clustering method that use
> >a distance matrix as input? I tried implementing the Ward
> >method, but found the final clusters are not so good in my
> >application, when I trace how clusters are grouped and
> >how cluster centers are updated. I am seeking an improved
> >version of the Ward method, or any others.
> >
> >Thank you so much and have a great weekend.
> >
> >-Kevin
> >
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