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Comparing the stability and reproducibility of brain-behavior relationships found using canonical correlation analysis and partial least squares within the ABCD sample. [PDF]
Nakua H +9 more
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Constrained Canonical Correlation
This paper explores some of the problems associated with traditional canonical correlation. A response surface methodology is developed to examine the stability of the derived linear functions, where one wishes to investigate how much the coefficients can change and still be in an ɛ-neighborhood of the globally optimum canonical correlation value.
DeSarbo, Wayne S. +3 more
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Influence in Canonical Correlation Analysis
The perturbation theory of the generalized eigenproblem is used to derive influence functions of each squared canonical correlation coefficient and the corresponding canonical vector pair. Three sample versions of these functions are described and some properties are noted.
Mario Romanazzi
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Regularized Generalized Canonical Correlation Analysis
generalized canonical correlation analysis, multi-block data analysis, PLS path modeling, regularized canonical correlation analysis,
Arthur Tenenhaus +2 more
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Canonical correlations and canonical time series
1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002In this paper, we revisit the problem of interrelations between large correlated data sets by considering cross correlations between a few linear combinations of the elements of each. This problem was studied by Hotelling (see Biometrika, vol.28, p.321-77) and Anderson (1958).
John K. Thomas, Louis L. Scharf
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Residual Canonical Correlations
Canadian Mathematical Bulletin, 1985AbstractResidual canonical correlations are defined and are derived in terms of canonical correlations. Some measures of residual association are also defined, in terms of the residual canonical correlations and some possible applications are suggested.
Kshirsagar, Anant M., Gupta, R. P.
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A Family of Canonical Correlation Networks
Neural Processing Letters, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pei Ling Lai, Colin Fyfe
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A Survey on Canonical Correlation Analysis
IEEE Transactions on Knowledge and Data Engineering, 2021In recent years, the advances in data collection and statistical analysis promotes canonical correlation analysis (CCA) available for more advanced research. CCA is the main technique for two-set data dimensionality reduction such that the correlation between the pairwise variables in the common subspace is mutually maximized.
Xinghao Yang +3 more
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On the Limiting Distribution of the Canonical Correlations
Biometrika, 1941Not ...
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