Functional Multiple-Set Canonical Correlation Analysis

Autor/inn/en	Hwang, Heungsun; Jung, Kwanghee; Takane, Yoshio; Woodward, Todd S.
Titel	Functional Multiple-Set Canonical Correlation Analysis
Quelle	In: Psychometrika, 77 (2012) 1, S.48-64 (17 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3123
DOI	10.1007/s11336-011-9234-4
Schlagwörter	Multivariate Analysis; Computation; Data Analysis; Short Term Memory + Suchen Sie Ihr Suchwort? Multivariate Analyse; Auswertung; Kurzzeitgedächtnis
Abstract	We propose functional multiple-set canonical correlation analysis for exploring associations among multiple sets of functions. The proposed method includes functional canonical correlation analysis as a special case when only two sets of functions are considered. As in classical multiple-set canonical correlation analysis, computationally, the method solves a matrix eigen-analysis problem through the adoption of a basis expansion approach to approximating data and weight functions. We apply the proposed method to functional magnetic resonance imaging (fMRI) data to identify networks of neural activity that are commonly activated across subjects while carrying out a working memory task. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10