Host: Japan Society for Fuzzy Theory and Intelligent Informatics
Co-host: International Fuzzy Systems Association, IEEE Computational Intelligence Society Japan Chapter
This paper describes algorithms for term clustering using the concept of a fuzzy neighborhood. Similarity measures between two terms in a document set and the center of cluster are considered. A nonhierarchical method of c-means using the concept of the fuzzy neighborhood is proposed. Effectiveness of this method is shown by numerical examples.