CCA: AnRPackage to Extend Canonical Correlation Analysis
نویسندگان
چکیده
منابع مشابه
Effects of environmental factors on species diversity of rotifers using biodiversity indicators and canonical correlation analysis (CCA)
Rotifers are microscopic aquatic animals of phylum Rotifera, live in a diverse range of aquatic habitats. They are important in ecology of freshwater ecosystems by recycling nutrients and can alter trophic dynamic of planktonic communities. These features have also been used to infer environmental conditions in an aquatic habitat. Because of the important roles of this group of animals in the t...
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Canonical correlation analysis (CCA) is a classical representation learning technique for finding correlated variables in multi-view data. Several nonlinear extensions of the original linear CCA have been proposed, including kernel and deep neural network methods. These approaches seek maximally correlated projections among families of functions, which the user specifies (by choosing a kernel o...
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Given a bivariate distribution, the set of canonical correlations and functions is in general finite or countable. By using an inner product between two functions via an extension of the covariance, we find all the canonical correlations and functions for the so-called Cuadras-Augé copula and prove the continuous dimensionality of this distribution.
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2008
ISSN: 1548-7660
DOI: 10.18637/jss.v023.i12