An Approach to Text Documents Clustering with {n, n-1, ….., 1}-Word(s) Appearance Using Graph Mining Techniques
Journal Title: International Journal of Science Engineering and Advance Technology - Year 2016, Vol 4, Issue 12
Abstract
This paper is about text document clustering with an input of n words. Initially a cluster of all text documents with extension name ".Txt" from m-documents of various types is formed. Then on an input of n-words, the proposed algorithm starts n, n-1, n-2,.....,1 sets of cluster. Each cluster of text documents with the presence of n, n-1, n- 2,......,1 word(s) respectively. These n-forms of clustering are treated as documents-words relation and in memory it is represented as un-oriented documents-words incidence matrix. Finally these un-oriented documents-words incidence matrices are represented as bi-partite graphs, since the bipartite graph has two sets of nodes namely document and word. The proposed algorithm using graph mining techniques was implemented using C++ programming language and the result was satisfactory.
Authors and Affiliations
Bapuji Rao| Research Scholar, CSE, BPUT, Rourkela, India CSE&A, IGIT, Sarang, Dhenkanal, India bapuji.research@gmail.com, Saroja Nanda Mishra| Research Scholar, CSE, BPUT, Rourkela, India CSE&A, IGIT, Sarang, Dhenkanal, India sarose.mishra@gmail.com
Keywords
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