Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science) (MIMSE-I-C-2022)

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Hierarchy Clustering Implementation on YouTube's Top Data

Authors
Sekar Mulyani1, *, Iin Fatonah1, M. Wildan Santosa1, Imam Tahyudin1, Andi Dwi Riyanto1, Dhanar Intan Surya Saputra1
1Faculty of Computer Science, Universitas Amikom Purwokerto, Purwokerto, Indonesia
*Corresponding author. Email: sekar.mulyani.si.c@gmail.com
Corresponding Author
Sekar Mulyani
Available Online 26 December 2022.
DOI
10.2991/978-94-6463-084-8_36How to use a DOI?
Keywords
Algorithm; Clustering; Hierarchy Clustering; YouTube
Abstract

Clustering is a method or process of grouping datasets into various clusters to produce variations in smaller clusters. Clustering has broad application fields such as data concept construction, pattern recognition, web search, simplification, security, and several other areas. Clustering methods are classified into two types, hierarchies and partitions. The hierarchical clustering method defines the cluster hierarchy by separating and combining them, whereas the partitioning method involves defining and evaluating sections based on criteria. Thus, the selected clustering algorithm must be efficient. This article focuses on clustering algorithms for obtaining and processing YouTube Channel Top Data.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science) (MIMSE-I-C-2022)
Series
Advances in Computer Science Research
Publication Date
26 December 2022
ISBN
978-94-6463-084-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-084-8_36How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Sekar Mulyani
AU  - Iin Fatonah
AU  - M. Wildan Santosa
AU  - Imam Tahyudin
AU  - Andi Dwi Riyanto
AU  - Dhanar Intan Surya Saputra
PY  - 2022
DA  - 2022/12/26
TI  - Hierarchy Clustering Implementation on YouTube's Top Data
BT  - Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science) (MIMSE-I-C-2022)
PB  - Atlantis Press
SP  - 437
EP  - 445
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-084-8_36
DO  - 10.2991/978-94-6463-084-8_36
ID  - Mulyani2022
ER  -