A Survey of Clustering Algorithms |
Author(s): |
| Janani , Dr. SNS Rajalakshmi college of arts and science; R. Tamilselvi, Dr. SNS Rajalakshmi college of arts and science |
Keywords: |
| Clustering Algorithm, Clustering Methods, Complexities of Clustering Algorithm |
Abstract |
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Clustering is a technique of grouping similar data objects in one group and dissimilar data objects in other group. Clustering or data grouping is the key technique of the data mining. It is an unsupervised learning task where one seeks to identify a finite set of categories termed clusters to describe the data. Grouping of data into clusters aims to maximize the intra class similarity and also minimize the inter class similarity. The clustering techniques can be categorized into partitioning methods, hierarchical methods, density-based methods and grid-based methods. This paper aims to provide a brief overview and complexities of various clustering algorithms. |
Other Details |
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Paper ID: IJSRDV5I100417 Published in: Volume : 5, Issue : 10 Publication Date: 01/01/2018 Page(s): 850-856 |
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