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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