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