DOCUMENT CLUSTERING USING AGGLOMERATIVE HIERARCHICAL CLUSTERING APPROACH (AHDC) AND PROPOSED TSG KEYWORD EXTRACTION METHOD

R. Nagarajan, S. Anu H Nair, N. Puviarasan, P.Aruna

Abstract: Document clustering is one of the emerging trends and it is an efficient approach for unorganized or unlabelled documents. Document clustering is a technique which finds out the concept of the documents using words presented in the documents. Dynamic growth of unorganized valuable documents increases the complexity of document organization. Keyword of the documents summarizes the documents. Keyword extraction techniques play an important role in document clustering. This research paper proposed a TSG keyword extraction method along with AHDC (Agglomerative Document Clustering approach) algorithm for document clustering. This proposed algorithm awards more than 90% of accuracy.

Keywords: Keyword Extraction, Co-Word Construction, Statistical Method, Graph Based Method, Tagging Method, Document Clustering, AHDC.

DOI: https://doi.org/10.15623/ijret.2016.0511023