Research Journal of Engineering and Technology

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Academic Performance Evaluator over the Cluster-L2 Metric


Affiliations
1 Department of Computer Science, Kalinga University, Raipur, Chhattisgarh, 492101, India
2 Department of Chemistry, Government Engineering College, Raipur, Chhattisgarh, 492015, India
3 Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology University, Vellore, Tamil Nadu, 632014, India
     

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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.

Keywords

EDM, L2Metric.
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  • Academic Performance Evaluator over the Cluster-L2 Metric

Abstract Views: 272  |  PDF Views: 1

Authors

Swati Jain
Department of Computer Science, Kalinga University, Raipur, Chhattisgarh, 492101, India
Vikas Kumar Jain
Department of Chemistry, Government Engineering College, Raipur, Chhattisgarh, 492015, India
Sunil Kumar Kashyap
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology University, Vellore, Tamil Nadu, 632014, India
Sanjay Kumar
Department of Computer Science, Kalinga University, Raipur, Chhattisgarh, 492101, India

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.

Keywords


EDM, L2Metric.