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CLUSTERING AND K-MEANS VIEW IN BIG DATA AND DATA MINING

Author(s):

G. Nasrin Fathima, Research Scholar , Jamal Mohamed College; R.Durga, Research Scholar, Jamal Mohamed College; R.Geetha , Assistant Professor ,, Jamal Mohamed College

Keywords:

Big data, Data Mining, Clustering, K-means algorithm.

Abstract

Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining and big data. The k-means algorithm is best suited for implementing this operation because of its efficiency in clustering large data sets. A clustering algorithm partitions a data set into several groups such that the similarity within a group is larger than among groups. The purpose of this paper is to analysis of k-means algorithm in big data and data mining.

Other Details

Paper ID: IJSRDV2I4356
Published in: Volume : 2, Issue : 4
Publication Date: 01/07/2014
Page(s): 935-938

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