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Enhanced and Efficient K-means Clustering Algorithm with New Technique of Initialization


Author(s):

Sejal Patel , Narnarayan Shastri Institute of Technology, Jetalpur, Ahmedabad, Gujarat; Ankita Shah, Narnarayan Shastri Institute of Technology, Jetalpur, Ahmedabad, Gujarat

Keywords:

Document Clustering, K-means, Enhanced Approach, pre-processing, centroid

Abstract:

Document clustering is a more specific technique for unsupervised document organization. Clustering methods can be used to automatically group the retrieved documents into a list of meaningful categories. This paper gives an overview of some of the mostly used document clustering techniques. Further, It explains the Enhanced K-means algorithm which is initialized properly to overcome the drawback of converging of it to local optimum.


Other Details:

Manuscript Id :IJSTEV1I12064
Published in :Volume : 1, Issue : 12
Publication Date: 01/07/2015
Page(s): 172-176
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