Performance analysis of student learning metric using K-mean clustering approach K-mean cluster

The large volume of data in all fields across the globe has to be managed and is used by the decision makers to obtain something productive out of it. The big data of 14000×5 of Harvard University online course is analysed to find the performance metrics of registered students from different countries by means of K-mean clustering method. The performance of the student depends on number of factors and grades are not enough to represent the all-round knowledge of a student. The paper aims to analyse the performance of the students based on different attributes with respect to their country.