Improvement of Association Search System Using Fuzzy Clustering

Abstract

In recent years, associative search system that automatically presents words that are associated with a keyword search have been developed. We have built an associative search system which includes ambiguity by using fuzzy clustering, and our using membership function to the associated words indication area enables users to visually understand the degree of association between the associated words and the search key word. In this study, we will improve the challenges we face related to the system, which is, the method of determining the number of clusters during clustering and visualization of associated words.