Antlion Optimizer Algorithm Modification for Initial Centroid Determination in K-means Algorithm

Antlion Optimizer Algorithm Modification for Initial Centroid Determination in K-means Algorithm

Clustering is a grouping of data used in data mining processing. K-means is one of the popular clustering algorithms, is easy to use, and is fast in clustering data. The K-means method groups the data based on k distances and randomly determines the initial centroid as a reference for processing. Ca...

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Bibliographic Details
Main Authors: Nanang Lestio Wibowo, Moch Arief Soeleman, Ahmad Zainul Fanani
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2023-08-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
clustering
k-means
centroid
antlion optimizer
sum of intra-distance clusters
initial center
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/4997

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