Principal component analysis

Principal component analysis

The analysis of covariance in a multiple data set so that the data can be projected as additive combinations on to new axes, which express different kinds of correlation among the data.

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Industry/Domain: Earth science
Category: Remote sensing
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principal components analysis

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Regression analysis to determine from a set of independent variables (predictors) those contributing most to the explained variance. See regression.

principal component analysis

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The analysis of covariance in a multiple data set so that the data can be projected as additive combinations on to new axes, which express different kinds of correlation among the ...

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principal component analysis

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Analysis of data that has been transformed from the original axes to principal axes, often abbreviated PCA. The first principal axis is the direction in which the data are ...

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Mathematical procedure that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components.

principal component analysis (PCA)

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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 ...