K-means method for clustering learning classes

<span>Learning class is a collection of several students in an educational institution. Every beginning the school year institution conducts grouping test. However, sometimes not accordance with ability students. For this reason, system needed to be able see according desired parameters. Determination weight test scores done using K-Means method as method. Iteration or repetition process very important because value still possible change. Therefore, carried out produce that does change and used determine level The results affect Application building information student admissions Acceptance will grouped into 3 groups learning classes. testing applies based on data admission prospective from institutions have high accuracy error rate 0.074. </span>