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1 евклидова ковариация
Mathematics: Euclidean covarianceУниверсальный русско-английский словарь > евклидова ковариация
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Covariance and contravariance of vectors — For other uses of covariant or contravariant , see covariance and contravariance. In multilinear algebra and tensor analysis, covariance and contravariance describe how the quantitative description of certain geometric or physical entities… … Wikipedia
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Matérn covariance function — In statistics, the Matérn covariance (named after the Swedish forestry statistician Bertil Matérn[1]) is a covariance function used in spatial statistics, geostatistics, machine learning, image analysis, and other applications of multivariate… … Wikipedia
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Mahalanobis distance — In statistics, Mahalanobis distance is a distance measure introduced by P. C. Mahalanobis in 1936.[1] It is based on correlations between variables by which different patterns can be identified and analyzed. It gauges similarity of an unknown… … Wikipedia
Distance correlation — In statistics and in probability theory, distance correlation is a measure of statistical dependence between two random variables or two random vectors of arbitrary, not necessarily equal dimension. Its important property is that this measure of… … Wikipedia
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Principal component analysis — PCA of a multivariate Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) direction and of 1 in the orthogonal direction. The vectors shown are the eigenvectors of the covariance matrix scaled by… … Wikipedia
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Curvilinear coordinates — Curvilinear, affine, and Cartesian coordinates in two dimensional space Curvilinear coordinates are a coordinate system for Euclidean space in which the coordinate lines may be curved. These coordinates may be derived from a set of Cartesian… … Wikipedia