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Survey of Different Clustering Algorithms in Data Mining

Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 5)

Publication Date:

Authors : ; ;

Page : 1138-1140

Keywords : Clustering; DBSCAN; IDBSCAN; OPTIC;

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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.

Last modified: 2021-06-30 21:46:31