A Multi-Objective Particle Swarm Optimization Approach for Optimizing K-Means Clustering Centroids

A Multi-Objective Particle Swarm Optimization Approach for Optimizing K-Means Clustering Centroids

The K-Means algorithm is a popular unsupervised learning method used for data clustering. However, its performance heavily depends on centroid initialization and the distribution shape of the data, making it less effective for datasets with complex or non-linear cluster structures. This study evalua...

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Bibliographic Details
Main Authors: Aina Latifa Riyana Putri, Joko Riyono, Christina Eni Pujiastuti, Supriyadi
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2025-06-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
centroid
k-means
multiobjective particle swarm optimization
the sum of square within
the sum of square between
Online Access:https://jurnal.iaii.or.id/index.php/RESTI/article/view/6533
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