Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015
Survey of Different Clustering Algorithms in Data Mining
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
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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