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Review on Various Enhancements in K means Clustering Algorithm

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  • Gurpreet Virdi
  • Neena Madan

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.

Suggested Citation

  • Gurpreet Virdi & Neena Madan, 2018. "Review on Various Enhancements in K means Clustering Algorithm," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 01-07, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit18333
    Note: Article URL: https://ijsrcseit.com/CSEIT18333
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