The Efficient Clustering algorithms for Data Mining : A Review

Authors(2) :-Gurveer Singh, Dinesh Kumar

The data mining is the technique which is used to mine the useful information from the rough data. The clustering is the technique which is used under data mining to cluster similar and dis-similar type of data. The various algorithms has been proposed in data mining to cluster similar and dissimilar type of data. In this work, various clustering algorithms are reviewed and it is been analyzed that symmetric and asymmetric type of algorithms are performed well in terms of accuracy and exaction time.

Authors and Affiliations

Gurveer Singh
Research Scholar, Giani Zail Singh Campus College of Engineering & Technology, Bathinda, Punjab, India
Dinesh Kumar
Associate Professor, Giani Zail Singh Campus College of Engineering & Technology, Bathinda, Punjab, India

Clustering, Symmetric, Asymmetric, K-Means

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 609-613
Manuscript Number : CSEIT172584
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Gurveer Singh, Dinesh Kumar, "The Efficient Clustering algorithms for Data Mining : A Review", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.609-613, September-October-2017.
Journal URL : http://ijsrcseit.com/CSEIT172584

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