Abstract #301766

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2002 Program page
JSM 2002 Abstract #301766
Activity Number: 48
Type: Contributed
Date/Time: Sunday, August 11, 2002 : 4:00 PM to 5:50 PM
Sponsor: Business & Economics Statistics Section*
Abstract - #301766
Title: TwoStep Cluster Method for More Efficient Customer Segmentation
Author(s): Dong Ping Fang and Jing Shyr*+
Affiliation(s): SPSS Inc. and SPSS Inc.
Address: 233 S. Wacker St, Chicago, Illinois, 60606, US
Keywords: Clustering ; Segmentation ; algorithms ; scalable ; analysis ; categorical
Abstract:

TwoStep Clustering is a scalable cluster analysis algorithm designed to handle very large data sets. It can handle both continuous and categorical variables or attributes. It requires only one data pass in the procedure. It has two steps: 1.) pre-cluster the records into many small sub-clusters; 2.) cluster the sub-clusters resulting from pre-cluster step into the desired number of clusters works remarkably well and quick.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2002 program

JSM 2002

For information, contact meetings@amstat.org or phone (703) 684-1221.

If you have questions about the Continuing Education program, please contact the Education Department.

Revised March 2002