The adaptive block sparse PCA and its application to multi-subject FMRI data analysis using sparse mCCA

• Published in: Signal processing Vol. 153; pp. 311 - 320
• Main Authors: Seghouane, Abd-Krim, Iqbal, Asif
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2018
• Subjects: Group sparse; Multi-Set canonical correlation analysis; Multi-subject FMRI data sets; Principal component analysis; Group sparse; Multi-Set canonical correlation analysis; Multi-subject FMRI data sets; Principal component analysis

Motivated by the problem of multi-subject functional magnetic resonance imaging (fMRI) data sets analysis using multiple-set canonical correlation analysis (mCCA), in this paper we propose a new variant of the principal component analysis (PCA) method, namely the adaptive block sparse PCA. It has th...