Fault Identification Model for Student Loan Approval using Clustering Performance Indices with K-mean

The objective of this research is to design an efficient mechanism to evaluate fault in a student loan approval process using the clustering technique with a concrete number of clusters. In this study, K-mean is used to analyze the historical data sets of student loan candidates provided by an anony...

The International Journal of Educational Organization and Leadership

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