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