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July 2006


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Jason Niles <[log in to unmask]>
Reply To:
Classification, clustering, and phylogeny estimation
Mon, 31 Jul 2006 11:33:01 -0400

Here are links to .pdfs for the following 2 articles:


The citations are the following:

Latent Class Cluster Analysis
(2002) J. A. Hagenaars and A. L. McCutcheon (eds.), Applied Latent Class
Analysis, 89-106. Cambridge: Cambridge University Press.

 Latent Class Models for Clustering: a Comparison with K-means
(2002) Canadian Journal of Marketing Research, 20, 36-43.

The first shows the benefits of the latent class/ finite mixture approach,
the 2nd shows how it can be viewed as a probabilistic extension of K-Means.

I also attach a comparison of Latent GOLD vs. SPSS 2-step that was conducted
and published by an independent party.

----- Original Message ----- 
From: "shannon" <[log in to unmask]>
To: <[log in to unmask]>
Sent: Sunday, July 30, 2006 3:41 PM
Subject: Handbook of Statistics

> Hi Everyone
> I have been invited to write a chapter on cluster analysis for an upcoming
> handbook of statistics.  Part of this chapter will focus on
> state-of-the-art methodology.
> I would welcome anyone's send me references to papers they think are
> ground-breaking and represent state-of-the-art cluster analysis
> methodology that should be part of this chapter.  These can be your own
> papers or other peoples papers and can come from any area including
> applied data analysis, stats, math, computer science, etc.
> Thanks for any suggestions.
> Bill
> ---
>         Biostatistics Consulting Center
> "Statistics is not a discipline like physics, chemistry or biology
> where we study a subject to solve problems in the same subject. We
> study statistics with the main aim of solving problems in other
> disciplines."   CR Rao
> William D. Shannon, Ph.D.
> Associate Professor of Biostatistics in Medicine
> Division of General Medical Sciences and Biostatistics
> Washington University School of Medicine
> Campus Box 8005, 660 S. Euclid
> St. Louis, MO   63110
> Phone: 314-454-8356
> Fax: 314-454-5113
> e-mail: [log in to unmask]
> web page:
> ----------------------------------------------
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