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June 2004

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Subject:
From:
Nedret Billor <[log in to unmask]>
Reply To:
Classification, clustering, and phylogeny estimation
Date:
Wed, 16 Jun 2004 13:52:33 -0500
Content-Type:
text/plain
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text/plain (168 lines)
 You can find the paper from DS's CV in the following url:

http://www.stat.rice.edu/~scottdw/

Nedret
*********
Nedret Billor
364 C Parker Hall
Discrete and Statistical Sciences
Auburn University, AL 36849-5307
Phone: (334) 844-3619
Fax: (334) 844-3611


----- Original Message -----
From: <[log in to unmask]>
To: <[log in to unmask]>
Sent: Wednesday, June 16, 2004 1:01 PM
Subject: Re: TwoStep clustering method comparison


> Sorry, I don't.  It would be part of an Joint ASA conference proceeding
> from a few years ago.  You might reach out to David Scott at Rice
> University.
>
>
>
>
>                         Art Kendall
>                         <Arthur.Kendall         To:
[log in to unmask]
>                         @VERIZON.NET>           cc:      (bcc: Thomas
Ball/NYO/NorthAmerica/MCKINSEY)
>                         Sent by:                Subject: Re: TwoStep
clustering method comparison
>                         "Classification
>                         , clustering,
>                         and phylogeny
>                         estimation"
>                         <[log in to unmask]
>                         sunysb.edu>
>                         06/16/2004
>                         01:08 PM
>                         Please respond
>                         to
>                         "Classification
>                         , clustering,
>                         and phylogeny
>                         estimation"
>
>
>
>
>
>
> do you have a cite or url for David Scott's suggestion?
>
> Art
> [log in to unmask]
> Social Research Consultants
> University Park, MD  USA
> (301) 864-5570
>
>
> [log in to unmask] wrote:
>
> >Luca-
> >      In spite of their appeal in the consumer world where many seem to
> >believe that large amounts of information is tantamount to insurance of
> >some type, the sorry fact is that with massive amounts of data, all too
> >frequently what you get is massive redundancy.  David Scott's suggestion
> to
> >do mode clustering with large databases remains one of the most sensible
> >suggestions I've ever heard.
> >Regards,
> >Tom Ball
> >McKinsey & Co
> >55 East 52nd Street
> >New York, NY  10022
> >
> >
> >
> >
> >                        Luca Meyer
> >                        <lucameyer@TIS         To:
> [log in to unmask]
> >                        CALI.IT>               cc:      (bcc: Thomas
> Ball/NYO/NorthAmerica/MCKINSEY)
> >                        Sent by:               Subject: TwoStep
clustering
> method comparison
> >                        "Classificatio
> >                        n, clustering,
> >                        and phylogeny
> >                        estimation"
> >                        <CLASS-L@lists
> >                        .sunysb.edu>
> >                        06/16/2004
> >                        11:24 AM
> >                        Please respond
> >                        to
> >                        "Classificatio
> >                        n, clustering,
> >                        and phylogeny
> >                        estimation"
> >
> >
> >
> >
> >
> >
> >Hello,
> >
> >I am searching for working/published papers on twostep clustering method
> >comparison as well as references about this and other methods for
> >clustering large datasets. I am already aware of the following material:
> >
> >Chiu, T., Fang, D., Chen, J., Wang, Y., and Jeris, C. (2001). A Robust
> >and Scalable Clustering Algorithm for Mixed Type Attributes in Large
> >Database Environment. Proceedings of the seventh ACM SIGKDD
> >international conference on knowledge discovery and data mining, 263.
> >
> >Zhang, T., Ramakrishnon, R., and Livny M. (1996). BIRCH: An Efficient
> >Data Clustering Method for Very Large Datebases. Proceedings of the ACM
> >SIGMOD Conference on Management of Data, p. 103-114, Montreal, Canada.
> >
> >Gore, P. A. Jr. (2000). Cluster analysis. In H. E. A. Tinsley & S. D.
> >Brown (Eds.), Handbook of applied multivariate statistics and
> >mathematical modeling (pp. 297-321). San Diego, CA: Academic Press.
> >
> >Thank you in advance,
> >
> >Mr. Luca Meyer
> >Consumer research advisor: http://www.lucameyer.com/en/
> >Italian Online Research Mailing List:
> >http://it.groups.yahoo.com/group/ior
> >Tel: +390122854456 - Fax: +390122854837 - Mobile: + 393355217628
> >
> >- One world, one human race -
> >
> >
> >
> >+---------------------------------------------------------+
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> >+---------------------------------------------------------+
> >
> >
> >
>
>
>
> +---------------------------------------------------------+
> This message may contain confidential and/or privileged
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> disclose or take any action based on this message or any
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