Concept-Based Document Clustering Using Bisecting K-Means Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
Document Clustering has been extensively investigated as a methodology for improving document search and retrieval. Although good clustering algorithms are widely available, good solutions for labeling the clustered results to meet analysts’ needs are rare. Therefore efficient topic extraction methods are essential in document clustering. Hence this paper is focused at how efficiently document clustering can be done with the help of bisecting K- means algorithm.
Authors and Affiliations
Ananth V
Keywords
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