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May 2004

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"Classification, clustering, and phylogeny estimation" <[log in to unmask]>
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"Wolfgang M. Hartmann" <[log in to unmask]>
Date:
Thu, 6 May 2004 09:26:34 +0200
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Hi, dear Douglas,
for a long time I have not heard of you.
I hope you are fine, probably retired?
I'm still working at SAS Institute in the
Enterprise Miner department.
Would it be possible to send me a copy
of your two papers too? I have two email
addresses: I reply from here in Heidelberg,
Germany. In NC, I have
   [log in to unmask]
Did you know that I have a few of my Stasi
files on our private website?
www.cmat.pair.com/wolfgang
Kind regards,
Wolfgang

  -----Original Message-----
  From: Classification, clustering, and phylogeny estimation
[mailto:[log in to unmask]]On Behalf Of J. Douglas Carroll
  Sent: Donnerstag, 6. Mai 2004 08:33
  To: [log in to unmask]
  Subject: Re: Question about cluster analysis techniques


  First of all, MDS is NOT a clustering method, although the two
methodologies are often used in a complementary manner, just as, say,
principal components and clustering analysis may sometimes be (but often in
an inappropriate way).

  Secondly, there's an enormous literature on both subjects, including
numerous papers discussing the two approaches and their interrelationships.
Two papers that were recently completed that might be helpful to you, both
to be published in the forthcoming Encyclopedia of Social Measurement, are
one by Carroll, Arabie and Hubert on MDS and another by Arabie, Hubert and
Carroll on Clustering.  These are both short overview articles, but provide
other references which could be useful to you.  Since these papers are not
yet published, if you're interested I could arrange to send you electronic
copies of preprints of both.

  Doug Carroll

  At 11:13 AM 5/5/2004 -0500, Henry Bulley wrote:


    Hello all,



    Do any of you know of a good review paper/article that discusses cluster
analysis/cluster validation as well as other clustering approaches like MDS?



    Thanks



    Henry





----------------------------------------------------------------------------

    From: Classification, clustering, and phylogeny estimation
[mailto:[log in to unmask]] On Behalf Of F. James Rohlf
    Sent: Monday, March 22, 2004 8:23 PM
    To: [log in to unmask]
    Subject: Re: Question about cluster analysis techniques



    You might find more responses to such questions on the morphometrics
list server. For information about joining this list see
http://life.bio.sunysb.edu/morph/morphmet.html. You might also find this
website useful has it has links to many resources for the study of shape
variation.

    -----------------------
    F. James Rohlf
    State University of New York, Stony Brook, NY 11794-5245
    www: http://life.bio.sunysb.edu/ee/rohlf
      -----Original Message-----
      From: Classification, clustering, and phylogeny estimation
[mailto:[log in to unmask]] On Behalf Of Angelique Augereau
      Sent: Wednesday, March 17, 2004 6:23 PM
      To: [log in to unmask]
      Subject: Question about cluster analysis techniques
      Hi,

      I have human body scan data on 4 parts of the body: waist, upper hip,
high hip and lower hip.  I am trying to find a way to classify human bodies
into different types based on the 4 measures.  E.g. straight body, pear
shape, etc.

      Can you please tell me what kinds of techniques would be appropriate
for this kind of analysis?  I am working with Mathematica.

      Thanks!



    ######################################################################
    # J. Douglas Carroll, Board of Governors Professor of Management and #
    #Psychology, Rutgers University, Graduate School of Management,      #
    #Marketing Dept., MEC125, 111 Washington Street, Newark, New Jersey  #
    #07102-3027.  Tel.: (973) 353-5814, Fax: (973) 353-5376.             #
    # Home: 14 Forest Drive, Warren, New Jersey 07059-5802.              #
    # Home Phone: (908) 753-6441 or 753-1620, Home Fax: (908) 757-1086.  #
    # E-mail: [log in to unmask]                                   #
    ######################################################################


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