Density peaks clustering based on Gaussian fuzzy neighborhood with noise parameter

Density peak clustering (DPC) is an effective clustering method known for its robustness, non-iterative nature, and hybrid approach. However, it is not without limitations: (a) the determination of the cutoff distance (dc) relies on human experience, which can significantly impact the clustering out...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 255; p. 124782
Main Authors:	Waqas, Syed Muhammad, Khan, Sumra, Talpur, Kashif, Khan, Rizwan Ahmed
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.12.2024
Subjects:	Density peaks clustering Fuzzy neighborhood Gaussian membership function Label propagation Noise handling Gaussian membership function Noise handling Fuzzy neighborhood Label propagation Density peaks clustering
ISSN:	0957-4174
Online Access:	Get full text
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