Review on Various Enhancements in K means Clustering Algorithm

Authors(2) :-Gurpreet Virdi, Neena Madan

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.

Authors and Affiliations

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

Data Mining, Clustering, K means

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 01-07
Manuscript Number : CSEIT18333
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Gurpreet Virdi, Neena Madan, "Review on Various Enhancements in K means Clustering Algorithm", International 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
URL : http://ijsrcseit.com/CSEIT18333

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