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Document Clustering using a New Similarity Measure based on Energy of a Bipartite Graph
Published in Indian Society for Education and Environment
2016
Volume: 9
   
Issue: 40
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.
About the journal
JournalIndian Journal of Science and Technology
PublisherIndian Society for Education and Environment
ISSN0974-6846
Open AccessYes