Title :
A co-evolutionary framework for clustering in information retrieval systems
Author_Institution :
Nat. Inst. of Informatics, Tokyo, Japan
fDate :
6/24/1905 12:00:00 AM
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
Keywords :
evolutionary computation; information retrieval; information retrieval systems; pattern clustering; co-evolutionary framework; document clustering; mathematical formulation; overlapping multiple clusters; term clustering; text-based information retrieval systems; Clustering methods; Evolutionary computation; Explosives; Frequency; History; Informatics; Information retrieval; Navigation; Sparse matrices; Symmetric matrices;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004513