International Journal of Advanced Networking and Applications

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Evaluation of Enhanced K-MEAN Algorithm to the Student Dataset


Affiliations
1 Department of Computer Science, Hindusthan College of Arts and Science, Coimbatore, India
2 Department of Computer Studies, Sri Ramakrishna Engineering College, Coimbatore, India
 

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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  • Evaluation of Enhanced K-MEAN Algorithm to the Student Dataset

Abstract Views: 171  |  PDF Views: 2

Authors

R. Ranga Raj
Department of Computer Science, Hindusthan College of Arts and Science, Coimbatore, India
M. Punithavalli
Department of Computer Studies, Sri Ramakrishna Engineering College, Coimbatore, India

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.