A co-evolutionary framework for clustering in information retrieval systems

Authors:
A. Aizawa
Affiliations:
Nat. Inst. of Informatics, Tokyo, Japan
Venue:
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Year:
2002

Citing 0
Cited 1

An Approach to Microscopic Clustering of Terms and Documents

PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence

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Abstract

This paper presents a co-evolutionary framework for clustering in text-based information retrieval systems. The prominent feature of the proposed method is that documents and terms are clustered simultaneously into overlapping multiple clusters. The mathematical formulation and implementation of the clustering method are briefly introduced, together with some experimental results.