Clustering for multi-dimensional data set: a case study on educational data

Abstract

This paper present two-step cluster method to handle data sets in educational data mining. It can handle multi-dimentional metric data points especially in complex data sets. For a case study, we use tracer study data in order to assign a clustering of alumni based on the profile. The result of clustering will help the school to evaluate and improve the quality of its graduates.