Perlombongan Data Tesis Projek Sarjana Muda (PSM) Berdasarkan Teknik K-Means Dan Self Organizing Data Analysis (ISODATA)

Abstract

Gaining useful information from a stack of thesis Projek Sarjana Muda (PSM) is a quiet difficult as the data keeps on increasing within the Department IS data reservoir. As a result, one possible way to recognize which of the parameter that give influence on the performance of the PSM's supervisor forecasting result is by clustering the data.

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