Business Intelligence

Analysis and Implementation of Algorithm Clustering Affinity Propagation and K-Means at Data Student Based on GPA and Duration of Bachelor-Thesis Completion

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Executive Summary

Effectiveness and accurate results from an algorithm has always been a basic reference for every step taken in the use and utilization of algorithm, which is expected to achieve optimal results both in quality and quantity. In order to realize the level of accuracy and effectiveness from the program, it would require an algorithm that can minimize error and faster in data processing rate compared with existing algorithm. In this paper, the authors have compared two algorithms, namely Affinity Propagation and K-Means, at data student based on GPA and Duration of Bachelor-Thesis Completion.

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