Some Variants of Fuzzy Clustering for Relational data

Abstract

Various fuzzification techniques have been applied to clustering algorithms for vector data, such as Yang-type and eQ-type fuzzification. However, only a few such techniques have been applied to fuzzy clustering algorithms for relational data. In this study, we propose two fuzzy clustering algorithms for relational data based on two fuzzification techniques: Y-type and eQ-type. Numerical experiments are conducted to evaluate the classification features and performance of the proposed algorithms.