principal component


principal component
основная компонента (дисперсии)

English-Russian dictionary on experimental design. 2014.

Смотреть что такое "principal component" в других словарях:

  • principal component analysis — ( PCA) A mathematical tool used to reduce the number of variables while retaining the original variability of the data The first principal component accounts for as much of the variability in the data as possible, and each succeeding component… …   Financial and business terms

  • 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

  • Principal component regression — In statistics, principal component regression (PCR) is a regression analysis that uses principal component analysis when estimating regression coefficients.In PCR instead of regressing the independent variables (the regressors) on the dependent… …   Wikipedia

  • Principal Component Analysis — Hauptkomponentenanalyse als Faktorenanalyse: Zwei Hauptkomponenten einer zweidimensionalen Punktwolke (orthogonal rotiert) Die Hauptkomponentenanalyse (englisch: Principal Component Analysis, PCA) ist ein Verfahren der multivariaten Statistik.… …   Deutsch Wikipedia

  • Multilinear principal-component analysis — (MPCA) [1] is a mathematical procedure that uses multiple orthogonal transformations to convert a set of multidimensional objects into another set of multidimensional objects of lower dimensions. There is one orthogonal transformation for each… …   Wikipedia

  • Kernel principal component analysis — (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non linear mapping.ExampleThe two …   Wikipedia

  • Principal components analysis — Principal component analysis (PCA) is a vector space transform often used to reduce multidimensional data sets to lower dimensions for analysis. Depending on the field of application, it is also named the discrete Karhunen Loève transform (KLT),… …   Wikipedia

  • Component analysis — may refer to: Principal component analysis Kernel principal component analysis Independent component analysis Neighbourhood components analysis ANOVA simultaneous component analysis Connected Component Analysis This disambiguation pag …   Wikipedia

  • component — 01. There are three main [components] to the plan. 02. The various [components] are manufactured by different suppliers around the world, and assembled in our factory in Mexico. 03. The principal [component] of the Asian diet is rice. 04. They… …   Grammatical examples in English

  • Principal geodesic analysis — In geometric data analysis and statistical shape analysis, principal geodesic analysis is a generalization of principal component analysis to a non Euclidean, non linear setting of manifolds suitable for use with shape descriptors such as medial… …   Wikipedia

  • component — {{Roman}}I.{{/Roman}} noun ADJECTIVE ▪ basic, central, core, critical, crucial, essential, fundamental, important, integral, key …   Collocations dictionary

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