• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Indian Journal of Science and Technology

Year: 2016, Volume: 9, Issue: 40, Pages: 1-7

Original Article

Document Clustering using a New Similarity Measure based on Energy of a Bipartite Graph

Abstract

Objectives: This paper aims at clustering documents using a new similarity measure based on energy of a bipartite graph. Methods/Statistical Analysis: We have made use of bipartite representation of documents and clustered them. The proposed algorithm has been illustrated for a small document set. The documents have been clustered using the new similarity measure based on energy of a bipartite graph introduced by us. Findings: Our proposed algorithm gives a better clustering quality comparing with the k means clustering algorithm. Application/Improvements: This proposed algorithm can be further extended and applied to cluster large document sets.
Keywords: Bipartite Graph, Cluster Quality, Document Clustering, Energy, Similarity Measure

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