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: <[EMAIL PROTECTED]> To: <[EMAIL PROTECTED]> 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: [EMAIL PROTECTED] > @VERIZON.NET> cc: (bcc: Thomas Ball/NYO/NorthAmerica/MCKINSEY) > Sent by: Subject: Re: TwoStep clustering method comparison > "Classification > , clustering, > and phylogeny > estimation" > <[EMAIL PROTECTED] > 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 > [EMAIL PROTECTED] > Social Research Consultants > University Park, MD USA > (301) 864-5570 > > > [EMAIL PROTECTED] 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 > > <[EMAIL PROTECTED] To: > [EMAIL PROTECTED] > > CALI.IT> cc: (bcc: Thomas > Ball/NYO/NorthAmerica/MCKINSEY) > > Sent by: Subject: TwoStep clustering > method comparison > > "Classificatio > > n, clustering, > > and phylogeny > > estimation" > > <[EMAIL PROTECTED] > > .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 - > > > > > > > >+---------------------------------------------------------+ > >This message may contain confidential and/or privileged > >information. If you are not the addressee or authorized to > >receive this for the addressee, you must not use, copy, > >disclose or take any action based on this message or any > >information herein. If you have received this message in > >error, please advise the sender immediately by reply e-mail > >and delete this message. Thank you for your cooperation. > >+---------------------------------------------------------+ > > > > > > > > > > +---------------------------------------------------------+ > This message may contain confidential and/or privileged > information. If you are not the addressee or authorized to > receive this for the addressee, you must not use, copy, > disclose or take any action based on this message or any > information herein. If you have received this message in > error, please advise the sender immediately by reply e-mail > and delete this message. Thank you for your cooperation. > +---------------------------------------------------------+ >
