Academic Performance Evaluation and Prediction using SC-FCM Clustering Algorithm

Govinda Raj S S

Abstract: In this Paper Ive introduced a methodology to evaluate and predict the academic performance of Students using Subtractive Clustering Fuzzy C means Clustering Hybrid model taking their previous performance as training data. Students improvement in performance is henceforth evaluated using the Algorithm predicted results and original results.

Keywords: Academic Performance Evaluation, Subtractive Clustering, Fuzzy C means clustering, training data

How to Cite?: Govinda Raj S S, "Academic Performance Evaluation and Prediction using SC-FCM Clustering Algorithm", Volume 5 Issue 11, November 2016, International Journal of Science and Research (IJSR), Pages: 1608-1611, https://www.ijsr.net/getabstract.php?paperid=ART20163197, DOI: https://dx.doi.org/10.21275/ART20163197