Survey of Different Clustering Algorithms in Data Mining
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 110 | Views: 339

Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015 | Popularity: 6.2 / 10


     

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


Edition: Volume 4 Issue 5, May 2015


Pages: 1138 - 1140



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

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