Sentence Level Clustering using Fuzzy Relational Algorithm

Clustering is an extremely studied in data mining problem for the text mining domains. Difficulty finds in various applications like customer segmentation, visualization, and collaborative filtering, classification, indexing and document organization. In text mining, clustering the sentence is the processes and it is used within a general text mining tasks. Some of the clustering algorithms and methods are used for clustering the documents at sentence level. In text clustering, sentence level clustering plays a important role this is used in text mining activities. The cluster size may change from one cluster to another and traditional clustering algorithms have some problems in clustering while the input in the form of data set. This gives problems such as, instability of clusters, sensitivity and complexity. To overcome the limitations of those clustering algorithms, in this paper proposes a algorithm called Fuzzy Relational Eigenvector Centrality-based Clustering Algorithm (FRECCA) which is used for the clustering of sentences. We can obtain the more efficient method to overcome the problems in these existing approaches.