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Clustering Categorical Data: An Approach Based on Dynamical Systems

The VLDB Journal — The International Journal on Very Large Data Bases, no. 3-4 (2000): 222-236

Cited: 597|Views70
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Abstract

We describe a novel approach for clustering col- lections of sets, and its application to the analysis and mining of categorical data. By "categorical data," we mean tables with fields that cannot be naturally ordered by a metric - e.g., the names of producers of automobiles, or the names of prod- ucts offered by a manufacturer. Our appro...More

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