Abstract The spatial display of clustered data using machine learning (ML) as regions (bordered areas) is currently unfeasible. This problem commonly encountered in various research fields that utilize clustering algorithms their workflow. We present this study an approach utilizing ML algorithm models can be trained to any specific dataset produce decision boundaries. These boundaries are over...

Education institutions store large amounts of data regarding students, such as demographics, academic-related data, and student activities. These were recorded stored in many ways, including different filing systems database formats. By having these education have a better way to manage understand their students. In addition, information related students can easily be accessed extracted. As mor...