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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Vydané v:	Expert systems with applications Ročník 255; s. 124782
Hlavní autori:	Waqas, Syed Muhammad, Khan, Sumra, Talpur, Kashif, Khan, Rizwan Ahmed
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2024
Predmet:	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
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