Quality and performance evaluation of the algorithms KMART and FCM for fuzzy clustering and categorization

In this paper we present a comparison of two fuzzy text document clustering algorithms. First of them is KMART algorithm, neural network based on Fuzzy ART neural network and the second algorithm is Fuzzy C-Means based on K-Means algorithm. The paper is aimed to compare the quality and performance of both algorithms on the set of real, contextually similar text documents falling into more categories at the same time.