A co-evolutionary framework for clustering in information retrieval systems
Akiko Aizawa · 2003
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.