The Efficient Clustering algorithms for Data Mining : A Review

Authors

  • 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

Keywords:

Clustering, Symmetric, Asymmetric, K-Means

Abstract

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-10-31

Issue

Volume 2, Issue 5, September-October-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Gurveer Singh, Dinesh Kumar, " The Efficient Clustering algorithms for Data Mining : A Review, IInternational 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.