Agent for Documents Clustering using Semantic-based Model and Fuzzy

Text clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful clusters. Many fuzzy clustering algorithms, such as K-means, deal with documents as bag of words. The bag of words representation method used for these clustering is often unsatisfactory because it ignores the semantic of words.