Optimal Sentence Clustering Using An Innovative Hierarchical Fuzzy Clustering Algorithm

The role of data clustering is inevitable in many text processing activities .Many proceedings are going on in this area since it has wider applications. Sentence clustering is a challenging task when compared with other data clustering, because a sentence is able to represent same ideas in different ways. For E.g. some people see a glass as half empty and some others see half full. Due to this variability fuzzy relational clustering algorithms are more able to produce optimal results in sentence clustering applications, since they allow the data elements to blend in more than one cluster with different cluster membership values. This paper presents a novel hierarchical fuzzy clustering algorithm which is capable of identifying the sub clusters within a cluster using a partitioning method.