From A-to-Z review of clustering validation indices

Data clustering involves identifying latent similarities within a dataset and organizing them into clusters or groups. The outcomes of various clustering algorithms differ as they are susceptible to the intrinsic characteristics of the original dataset, including noise and dimensionality. The effect...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 601; p. 128198
Main Authors:	Hassan, Bryar A., Tayfor, Noor Bahjat, Hassan, Alla A., Ahmed, Aram M., Rashid, Tarik A., Abdalla, Naz N.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 07.10.2024
Subjects:	Cluster validity indices Data clustering metrics External clustering validation Internal clustering validation External clustering validation Cluster validity indices Internal clustering validation Data clustering metrics
ISSN:	0925-2312
Online Access:	Get full text
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