Applying K-Means Clustering Algorithm in Item Response Theory

Data Clustering is used to extract meaningful information and to develop significant relationships among variables. We use Item response Theory to calculate probabilities of students & data clustering technique named k- means clustering is applied to divide students into groups. The selected sample was students of Teachers' College studying Primary Mathematics. It is an essential part in a proposed system of Agent based E Learning System .In the system this operation will be executed automatically.