Author(s):
Swati Jain, Vikas Kumar Jain, Sunil Kumar Kashyap, Sanjay Kumar
Email(s):
7sunilkumarkashyap@gmail.com
DOI:
10.5958/2321-581X.2017.00001.0 
Address:
Swati Jain1, Vikas Kumar Jain2, Sunil Kumar Kashyap3*, Sanjay Kumar1
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
Published In:
Volume - 8,
Issue - 1,
Year - 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.
Cite this article:
Swati Jain, Vikas Kumar Jain, Sunil Kumar Kashyap, Sanjay Kumar. Academic Performance Evaluator over the Cluster-L2 Metric. Research J. Engineering and Tech. 2017; 8(1): 01-03. doi: 10.5958/2321-581X.2017.00001.0
Cite(Electronic):
Swati Jain, Vikas Kumar Jain, Sunil Kumar Kashyap, Sanjay Kumar. Academic Performance Evaluator over the Cluster-L2 Metric. Research J. Engineering and Tech. 2017; 8(1): 01-03. doi: 10.5958/2321-581X.2017.00001.0 Available on: https://ijersonline.org/AbstractView.aspx?PID=2017-8-1-1