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Authors
Affiliations
1 Department of Computer Science, Hindusthan College of Arts and Science, Coimbatore, IN
2 Department of Computer Studies, Sri Ramakrishna Engineering College, Coimbatore, IN
Source
International Journal of Advanced Networking and Applications, Vol 4, No 2 (2012), Pagination: 1578-1580
Abstract
Conventional database querying methods are inadequate to extract useful information from huge data banks. Cluster analysis is one of the major data analysis methods and the k-means clustering algorithm is widely used for many practical applications. In this paper, the enhanced k-mean algorithm applied to the huge student dataset to find out the different categories and group them.
Keywords
Clustering, K-Means Algorithm, Enhanced K-Means Algorithm.
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