Pengelompokan Komentar Dataset Sentipol dengan Modified K-Means Clustering

Clustering is a technique in data mining that groups data sets into similar data clusters. One of the algorithms that is commonly used for clustering is K-Means. However, the K-Means algorithm has several weaknesses, one of them is the random factor in initial centroid selection, so that cluster res...

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Bibliographic Details
Published in:JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Main Authors: Ruddy Cahyanto, Antonius Rachmat Chrismanto, Danny Sebastian
Format: Article
Language:English
Published: Universitas Kristen Maranatha 2020-12-01
Online Access:https://journal.maranatha.edu/index.php/jutisi/article/view/3006