cPCA++: An efficient method for contrastive feature learning

•In this work, we propose a new data visualization and clustering technique for discovering discriminative structures in high-dimensional data.•This technique, referred to as cPCA++, is motivated by the fact that the interesting features of a “target” dataset may be obscured by high variance compone...

Celý popis

Podrobná bibliografia

Vydané v:	Pattern recognition Ročník 124; s. 108378
Hlavní autori:	Salloum, Ronald, Kuo, C.-C. Jay
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.04.2022
Predmet:	Contrastive PCA Dimensionality reduction Feature learning PCA Dimensionality reduction Feature learning Contrastive PCA PCA
ISSN:	0031-3203, 1873-5142
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!