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Research Journal of Engineering and Technology
Year : 2017, Volume : 8, Issue : 1
First page : ( 1) Last page : ( 3)
Print ISSN : 0976-2973. Online ISSN : 2321-581X.
Article DOI : 10.5958/2321-581X.2017.00001.0

Academic Performance Evaluator over the Cluster-L2 Metric

Jain Swati1, Jain Vikas Kumar2, Kashyap Sunil Kumar3,*, Kumar Sanjay1

1Department of Computer Science, Kalinga University, Raipur, Chhattisgarh, 492101, India

2Department of Chemistry, Government Engineering College, Raipur, Chhattisgarh, 492015, India

3Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology University, Vellore, Tamil Nadu, India, 632014

*Corresponding Author Email: 7sunilkumarkashyap@gmail.com

Online published on 17 July, 2017.

Abstract

The Academic Performance of the Students interacts with the Data Management System. The performances of the student are recorded under some classes. These classes are well defined under some significant characteristics. There is various hidden information which lies with general set arrangements. The fuzzy set reforms this into membership function and fit into certain set theoretic representation. This paper proposes a new cluster analysis technique based on Euclidean Distance Metric (EDM) or L2 Metric. The advantages of this method are efficient and simple.

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Keywords

EDM, L2Metric.

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