Clustering Balinese Language Documents using the Balinese Stemmer Method and Mini Batch K-Means with K-Means++

Clustering aims to categorize data into n groups, where data within each group exhibits maximum similarity, while the similarity between groups is minimized. Among various clustering methods, k-means is widely employed due to its simplicity and ability to yield optimal clustering results. However, t...

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Bibliografische Detailangaben

Hauptverfasser:	Made Agus Putra Subali, I Gusti Rai Agung Sugiartha, Komang Budiarta, I Made Budi Adnyana
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Politeknik Negeri Batam 2023-12-01
Schriftenreihe:	Journal of Applied Informatics and Computing
Schlagworte:	clustering dokumen bahasa bali balinese stemmer mini batch k-means k-means
Online-Zugang:	https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/6476
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