INTEGRATION OF HIERARCHICAL CLUSTER, SELF-ORGANIZING MAPS, AND ENSEMBLE CLUSTER WITH NAÏVE BAYES CLASSIFIER FOR GROUPING CABBAGE PRODUCTION IN INDONESIA

INTEGRATION OF HIERARCHICAL CLUSTER, SELF-ORGANIZING MAPS, AND ENSEMBLE CLUSTER WITH NAÏVE BAYES CLASSIFIER FOR GROUPING CABBAGE PRODUCTION IN INDONESIA

The purpose of this study is to evaluate and compare different clustering techniques, including hierarchical cluster analysis (using complete linkage, average linkage, and single linkage methods), Self-Organizing Maps (SOM) clustering, and ensemble clustering, within the framework of integrated clus...

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Bibliographic Details
Main Authors: Maulidya Maghfiro, Ni Wayan Surya Wardhani, Atiek Iriany
Format: Article
Language:English
Published: Universitas Pattimura 2025-04-01
Series:Barekeng
Subjects:
cabbage
cluster ensembles
hierarchical analysis
naïve bayes
som
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/15214
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https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/15214

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