Classification Algorithms Based on Fuzzy Neighborhood System

Abstract

This paper describes algorithms for classification and clustering of information objects on the basis of similarity measures using the concept of a fuzzy neighborhood. Algorithms for application to information retrieval are proposed. Illustrative examples are given and effectiveness of different algorithms are compared.