A fuzzy neighborhood model for clustering, classification, and approximations

Authors:
Sadaaki Miyamoto;Satoshi Hayakawa
Affiliations:
Department of Risk Engineering, School of Systems and Information Engineering, University of Tsukuba, Ibaraki, Japan;Graduate School of Systems and Information Engineering, University of Tsukuba, Ibaraki, Japan
Venue:
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Year:
2006

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Abstract

A fuzzy neighborhood model for analyzing information systems having topological structures on occurrences of keywords is proposed and algorithms of clustering, classification and approximations similar to generalized rough sets are developed. Real applications include text mining and clustering of keywords on the web. An illustrative example is given.