Survey of Different Clustering Algorithms in Data Mining

Subodh Shrivastava, Brajesh Patel

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

How to Cite?: Subodh Shrivastava, Brajesh Patel, "Survey of Different Clustering Algorithms in Data Mining", Volume 4 Issue 5, May 2015, International Journal of Science and Research (IJSR), Pages: 1138-1140, https://www.ijsr.net/getabstract.php?paperid=SUB154393, DOI: https://dx.doi.org/10.21275/SUB154393