Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 12, December 2016
Survey on Various Clustering Techniques in Data Mining
Lavanya.N | N. Deepika
Abstract: Clustering is the run through of grouping the data into classes, so that objects within a cluster are similar to one another but these objects are different to the objects that are in other clusters. Differences and likeness are refereed on the attribute values telling the objects and often involves in measuring distance. This paper provides an review about few clustering methods Partitioning method, hierarchical method, Density based method, Grid based method, and Model based method in data mining.
Keywords: Clustering, Partitioning, Hierarchical, Density Based, Grid based, Model based
Edition: Volume 5 Issue 12, December 2016,
Pages: 962 - 966
How to Cite this Article?
Lavanya.N, N. Deepika, "Survey on Various Clustering Techniques in Data Mining", International Journal of Science and Research (IJSR), Volume 5 Issue 12, December 2016, pp. 962-966, https://www.ijsr.net/get_abstract.php?paper_id=ART20163563
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