Functional Multiple-Set Canonical Correlation Analysis |
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| Authors: | Heungsun Hwang Kwanghee Jung Yoshio Takane Todd S Woodward |
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| Institution: | (1) Department of Biomedical Engineering, Division of Medical Informatics, Link?ping University, Sweden;(2) Department of Biomedicine and Surgery, Division of Oncology, Link?ping University, Sweden;(3) Department of Surgery, County Hospital, Kalmar, Sweden;(4) Department of Pathology, County Hospital, Kalmar, Sweden;(5) Oncology Centre, University Hospital, Link?ping University, Sweden |
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| 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. |
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