An Approach to Improve Quality of Document Clustering by Word Set Based Documenting Clustering Algorithm

Sandeep Sharma, Ruchi Dave and Naveen Hemrajani

Department of Computer Science and Engineering, Suresh Gyan Vihar University, Jaipur (India).

ABSTRACT:

This paper presents a technique to improve the quality of Document Clustering based on Word Set Concept. The proposed Technique WDC (word set based document clustering), a clustering algorithm work with to obtain clustering of comparable quality significantly more efficiently more than the state of the art text clustering algorithm. The proposed WDC algorithms utilize the semantic relation ship between words to create concepts. The Word sets based Document Clustering (WDC) obtains clustering of comparable quality significantly more efficiently than state-of-art approach is efficient and give more accurate clustering result than the other methods.

KEYWORDS: Document clustering; Frequent concept; Word set

Copy the following to cite this article: Sharma S, Dave R, Hemrajani N. An Approach to Improve Quality of Document Clustering by Word Set Based Documenting Clustering Algorithm. Orient. J. Comp. Sci. and Technol;4(2)

Copy the following to cite this URL: Sharma S, Dave R, Hemrajani N. An Approach to Improve Quality of Document Clustering by Word Set Based Documenting Clustering Algorithm. Orient. J. Comp. Sci. and Technol;4(2). Available from: http://www.computerscijournal.org/?p=2498

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