A two-phase educational data clustering method based on transfer learning and kernel K-means

Abstract

In this paper, we propose a two-phase educational data clustering method using transfer learning and kernel k-means algorithms for the student data clustering task on a small target data set from a target program while a larger source data set from another source program is available.