do you have a cite or url for David Scott's suggestion?

Art
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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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