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A Survey Based On Data Clustering Algorithms

Author(s):

SHREYATA KHATRI , DCSA,KURUSHETRA UNIVERSITY,KURUSHETRA

Keywords:

Data Mining, Clustering, Various Types of Clustering Algorithm

Abstract

Grouping of document on the bases of clustering is vital task in document categorization. Documents are increasing day by day so, it is very crucial to segregate these documents in clusters. The objective of this paper is to discuss clustering algorithms and issues and challenges concerned with document clustering. The algorithms under consideration are: k-means, hierarchical clustering, density based, grid based and model based algorithm.

Other Details

Paper ID: IJSRDV4I31322
Published in: Volume : 4, Issue : 3
Publication Date: 01/06/2016
Page(s): 1577-1580

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