Term Clustering in Texts Based on Fuzzy Neighborhoods and Kernel Functions

Authors:
Sadaaki Miyamoto;Satoshi Hayakawa;Yuichi Kawasaki
Affiliations:
Department of Risk Engineering, School of Systems and Information Engineering, University of Tsukuba, Ibaraki 305-8573, Japan;Graduate School of Systems and Information Engineering, University of Tsukuba, Ibaraki 305-8573, Japan;Graduate School of Systems and Information Engineering, University of Tsukuba, Ibaraki 305-8573, Japan
Venue:
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Year:
2007

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Abstract

A fuzzy neighborhood model for analyzing information systems having topological structures on occurrences of keywords is proposed and associated kernel functions are derived. Sufficient conditions when a neighborhood defines a kernel are described. Clustering algorithms with and without a kernel function are developed. Illustrative examples are given.