• Jitendra Srivastava
• Rajat Sharma

Importance of Education in today’s world is a well know fact. Researchers all over the world are continuously trying to enhance the scope as well as efficiency of Education using various Computational technologies. We in this research work aim to predict the performance of the students using novel method of Enhanced K means clustering algorithm. Standard K Means algorithm is well known but due to various drawbacks such as random initialization of the initial centers, empty cluster problem, converse at local minima we aim at better perspective i.e. an enhanced version of the Algorithm. Further experimental analysis of above said Algorithm will be the validation of proposed model.

Student, Performance, E- K Means, Clustering, Algorithm, Prediction

"Efficient Prediction of Student’s Performance Using Enhance K-Means Clustering Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.233-236, June-2019, Available :http://www.jetir.org/papers/JETIR1906036.pdf

"Efficient Prediction of Student’s Performance Using Enhance K-Means Clustering Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp233-236, June-2019, Available at : http://www.jetir.org/papers/JETIR1906036.pdf