JSM 2004 - Toronto

Abstract #301322

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Activity Number: 53
Type: Contributed
Date/Time: Sunday, August 8, 2004 : 4:00 PM to 5:50 PM
Sponsor: General Methodology
Abstract - #301322
Title: Effect of Using Principal Coordinates and Principal Components on Retrieval of Clusters
Author(s): William Warde*+
Companies: Oklahoma State University
Address: Statistics Dept., 301 MSCS, Stillwater, OK, 74078,
Keywords: agglomerative clustering ; principal coordinates ; principal components
Abstract:

Principal coordinate analysis is a more powerful technique than principal components analysis to ensure identification of groups of objects if some conditions are satisfied. The results of using principal coordinates prior to cluster analysis were investigated. Three different methods of standardization were examined and compared with no standardization using both principal coordinates and principal components. The retrieval ability of the known agglomerative clustering algorithms was improved by using principal coordinates. The results of applying principal coordinates based on the correlation coefficient instead of squared Euclidean distance prior to application of the clustering algorithms were less sensitive to changes in noise.

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Revised March 2004