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Canonical correlation analysis for functional data

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Krzyśko M., Waszak Ł.

Biometrical Letters

2013

tom 50

nr 2

95-105

Classical canonical correlation analysis seeks the associations between two data sets, i.e. it searches for linear combinations of the original variables having maximal correlation. Our task is to maximize this correlation, and is equivalent to solving a generalized eigenvalue problem. The maximal correlation coefficient (being a solution of this problem) is the first canonical correlation coefficient. In this paper we propose a new method of constructing canonical correlations and canonical variables for a pair of stochastic processes represented by a finite number of orthonormal basis functions.

Ograniczanie wyników

1 Biometrical Letters

1 Krzyśko M.

1 Waszak Ł.

1 2013

Wyniki wyszukiwania

Canonical correlation analysis for functional data