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The package can also be used to learn\nBayesian canonical correlation analysis (CCA) and group factor\nanalysis (GFA) models, both of which are special cases of CMF.\nThis is likely to be useful for people looking for CCA and GFA\nsolutions supporting missing data and non-Gaussian likelihoods.\nSee Klami et al. (2013)\n\nand Virtanen et al. 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