Canonical correlation analysis based on robust covariance matrix by using deterministic of minimum covariance determinant

Canonical correlation analysis (CCA) study the linear combinations between a two multivariate set of variable that have the maximum association among these two sets of variables. The main computation of the CCA is depend on the sample mean and covariance matrices, where they are very sensitive and h...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Mufda Jameel Alrawashdeh, Sofian A.A. Saad, Abdelrahman Musa Ali Mohammed, Waad J.A. Alrawashdeh
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: Elsevier 2024-09-01
Σειρά:Partial Differential Equations in Applied Mathematics
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Διαθέσιμο Online:http://www.sciencedirect.com/science/article/pii/S2666818124002067