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.