Abstract #301603

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JSM 2002 Abstract #301603
Activity Number: 321
Type: Contributed
Date/Time: Wednesday, August 14, 2002 : 12:00 PM to 1:50 PM
Sponsor: Section on Statistical Computing*
Abstract - #301603
Title: The Clustergram: A Graph for Visualizing Non-Hierarchical Cluster Analyses of Large Data Sets
Author(s): Matthias Schonlau*+
Affiliation(s): RAND Corporation
Address: 1700 Main Street , Santa Monica , California, 90407, USA
Keywords: visualization ; cluster analysis ; kmeans ; graph ; data mining ; dendrogram
Abstract:

In hierarchical cluster analysis, dendrogram graphs are used to visualize how clusters are formed. I propose an alternate graph, named clustergram, to examine how cluster members are assigned to clusters as the number of clusters increases. This graph is useful in exploratory analysis for non-hierarchical clustering algorithms like Kmeans and for hierarchical cluster algorithms when the number of observations is large enough to make dendrograms impractical.

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Revised March 2002