The main objective of education institutions is to provide quality education to its students. One way to achieve highest level of quality in higher education system is by discovering knowledge of students in a particular course. The knowledge is hidden among the educational data set and it is extractable through data mining techniques. In this paper, the K-Median method in clustering technique is used to evaluate students performance. By this task the extracted knowledge that describes students performance in end semester examination. It helps earlier in identifying the students who need special attention and allow the teacher to provide appropriate advising and coaching.