Clustering algorithm for mixed datasets using density peaks and Self-Organizing Generative Adversarial Networks

This paper presents a new Density-Peaks and Self-Organizing Generative Adversarial Networks (DP-SO-GAN) for clustering mixed datasets. Many clustering methods depend on the assumption that datasets contain either categorical or numerical attributes. Nevertheless, in real-time, most of the applicatio...

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Vydané v:	Chemometrics and intelligent laboratory systems Ročník 203; s. 104070
Hlavní autori:	Balaji, K., Lavanya, K., Mary, A. Geetha
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.08.2020
Predmet:	Adaptive cost function Density peaks clustering Generative adversarial networks Mixed data Adaptive cost function Generative adversarial networks Density peaks clustering Mixed data
ISSN:	0169-7439, 1873-3239
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