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...

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Bibliographic Details

Published in:	Pattern recognition Vol. 124; p. 108378
Main Authors:	Salloum, Ronald, Kuo, C.-C. Jay
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.04.2022
Subjects:	Contrastive PCA Dimensionality reduction Feature learning PCA Dimensionality reduction Feature learning Contrastive PCA PCA
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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