Review on Various Enhancements in K means Clustering Algorithm

Authors

  • Gurpreet Virdi  CSE, GNDU RC, Jalandhar, Punjab, India
  • Neena Madan  CSE, GNDU RC, Jalandhar, Punjab, India

Keywords:

Data Mining, Clustering, K means

Abstract

Data Mining is the technique used to mine the data that is finding the useful information from the raw data. As day-by-day data is increasing it becomes difficult for us to analyzing such a huge amount of data. For analyzing such data, we have various clustering techniques in data mining. Clustering is the technique used to divide the data into the various clusters. Clustering is done based on similarities within the elements that are to be clustered. K means is one of the clustering algorithm that is widely used because of its efficiency and simplicity. In this paper, we will review various enhancements in k means clustering algorithm.

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

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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

How to Cite

[1]
Gurpreet Virdi, Neena Madan, " Review on Various Enhancements in K means Clustering Algorithm, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.01-07, March-April-2018.