canonical correlation analysis


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canonical correlation analysis

A statistical manoeuvre which defines covariation for 2 groups of random variables—x and y—and seeks to identify linear combinations of the x's and the y's which have maximum correlation with each other.
References in periodicals archive ?
X., "Cross-Modal Image Clustering via Canonical Correlation Analysis," in Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015.
Boostani, "FF-SKPCCA: kernel probabilistic canonical correlation analysis," Applied Intelligence, vol.
Van Huffel, "Canonical correlation analysis applied to remove muscle artifacts from the electroencephalogram," IEEE Transactions on Biomedical Engineering, vol.
The paper applies the canonical correlation analysis for assessing the linkages of Pakistan's economy to the globe.
The canonical correlation analysis was applied with the objective of finding linear combinations that would preserve the relations between the physiological variables (electrical conductivity, potassium leaching, and germination percentage) and the drying kinetics variables (drying time and rates for mid-dry and complete drying).
Canonical correlation analysis and structural equation modelling: What do they have in common?
An exploratory analysis, a Pearson's Product Moment Correlation analysis and a canonical correlation analysis was performed to establish the existent shared relations between both groups of studied variables.
Canonical correlation analysis was used to evaluate the relationships between preoperative parameters (e.g., sex, age, pre-BCVA, EL, the minimum diameter of FTMH, the diameter of basal side of FTMH, and the presence of LHEP) and postoperative parameters (e.g., 6M-BCVA, the continuity of subfoveal EZ and ELM 6 months after the surgery).
The typical approach for revealing correlation relationships of two views is canonical correlation analysis (CCA) [10], which projects two-view data into their respective canonical subspaces.
To work on this set of dependent and independent variables the Canonical Correlation Analysis (CC) was tentatively chosen.
In particular, Canonical Correlation Analysis (CCA) is used to synthesise the NIR eigenfaces from their corresponding visible ones.