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    Clustering Analysis on Alumni Data Using Abandoned and Reborn Particle Swarm Optimization 

    Paulus Mudjihartono; Thitipong Tanprasert; Rachsuda Jiamthapthaksin (2016-02)

    Alumni data is one of the most important data that university management uses for developing the learning process decisions. This paper applies the idea of Abandoned and Reborn PSO (AR-PSO) to convert a clustering problem into the optimization form with an objective function to minimize the ugliness of the desired clusters. This algorithm of Clustering using AR-PSO (CAR-PSO) is slightly adapted to the cluster problem domain. The generated clusters need to be examined to decide if they are acceptable. There are three evaluations; the closeness, ...