Discovering Students´ Academic Performance Based on GPA Using K-Means Clustering Algorithm

Now days in higher learning program, the academic community facing some issues regarding monitor and analyzing the progress of student´s academic performance. In the real world, predicting the performance of the students is a challenging task. Currently they are using cluster analysis for analyzing the students´ results and using statistical algorithms to segregate their marks based on their performance. But it is not much effective, so we additionally added the k-mean clustering algorithm combined with deterministic model to analyze and monitor the student´s results and their performance. By this k-mean clustering we can get more efficiency on monitoring the progress of academic performance of students in higher Institution to provide accurate results in a short period of time. In this paper, we applied the methodology to find out the various interesting pattern by taking the student test scores.