Hierarchical clustering algorithm-dendogram using Euclidean and Manhattan distance

This paper presents the outcomes of a research experiment on the drying process of seaweed. There are numerous approaches to clustering data, such as partitioning and the Hierarchical Clustering Algorithm (HCA). The HCA has been implemented in binary tree structures to visualize data clustering. We...

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Bibliographic Details

Published in:	Teknika Vol. 20; no. 1; pp. 98 - 104
Main Authors:	Mukhtar, Mukhtar, Majahar Ali, Majid Khan, Arina, Faula, Wicaksono, Agung Satrio, Ikhsan, Aulia, Budiaji, Weksi, Abdullah, Syarif, Pertiwi, Dinda Dwi Anugrah, Zidny, Robby, Oktarisa, Yuvita, Sukarna, Royan Habibie
Format:	Journal Article
Language:	English
Published:	Universitas Sultan Ageng Tirtayasa 18.06.2024
Subjects:	dendogram euclidean and manhattan distance hierarchical clustering algorithm (hca)
ISSN:	1693-024X, 2654-4113
Online Access:	Get full text
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