REVIEW PAPER ON K-MEAN CLUSTERING

Authors

  • Preeti saini Research Scholar, Department of CSE, JIET Jind.
  • Sapna aggarwal Assistant professor, Department of CSE, JIET Jind.

Keywords:

Data mining, web mining, intelligence, knowledge discovery

Abstract

K-Means Clustering algorithm is an idea, in which there is need to classify the given data set into K clusters; the value of K (Number of clusters) is defined by the user which is fixed. In this first the centroid of each cluster is selected for clustering and then according to the chosen centriod, the data points having minimum distance from the given cluster, is assigned to that particular cluster.

References

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 Journal of Machine Learning Research 11: 2533–2541. the original title, "Practical machine learning", was changed ... The term "data mining" was [added] primarily for marketing reasons.

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Published

31-12-2016

How to Cite

Preeti saini, & Sapna aggarwal. (2016). REVIEW PAPER ON K-MEAN CLUSTERING. International Journal for Research Publication and Seminar, 7(8), 1–7. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/954

Issue

Vol. 7 No. 8 (2016): Oct - Dec 2016

Section

Original Research Article

License

Copyright (c) 2016 International Journal for Research Publication and Seminar

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