DocumentCode :
1636797
Title :
A co-evolutionary framework for clustering in information retrieval systems
Author :
Aizawa, Akiko
Author_Institution :
Nat. Inst. of Informatics, Tokyo, Japan
Volume :
2
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
1787
Lastpage :
1792
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
Type :
conf
DOI :
10.1109/CEC.2002.1004513
Filename :
1004513
Link To Document :
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