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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015
Survey of Different Clustering Algorithms in Data Mining
Subodh Shrivastava [2] | Brajesh Patel [2]
Abstract: Clustering is the process of collecting similar data in to a group. Clustering is very important in various fields such as machine learning, pattern recognition and statistics. Clustering is a unsupervised learning technique. In this paper following clustering techniques have been discussed- K-Medoid, K-Means Clustering, DBSCAN clustering, IDBSCAN Hierarchical Clustering, OPTICS.
Keywords: Clustering, DBSCAN, IDBSCAN, OPTIC
Edition: Volume 4 Issue 5, May 2015,
Pages: 1138 - 1140
Survey of Different Clustering Algorithms in Data Mining
How to Cite this Article?
Subodh Shrivastava, Brajesh Patel, "Survey of Different Clustering Algorithms in Data Mining", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB154393, Volume 4 Issue 5, May 2015, 1138 - 1140, #ijsrnet
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