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The PCA uses an orthogonal transformation to convert a set of values of possibly correlated dimensions into a set of values of uncorrelated dimensions called principal components [ 38].
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In general, through orthogonal transformation, a set of observations of possibly correlated variables can be converted into a set of values of linearly uncorrelated variables.
At this stage, available historical data ( x_{(1,n)} { x_{i} :i = 1,2,3, ldots,n} ) were converted into a set of values ( z_{i} { i = 1,2,3, ldots,n} ) by a cumulative summation of their variations.
Feature extraction is the module to convert an input image as a set of values, that is, a vector.
It is a procedure which uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated linearly variables named principal components [51, 52].
PCA is a mathematical procedure that uses an orthogonal transform to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.
Principal Component Analysis uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components [15].
It employs orthogonal transformations to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables.
Any health state so classified can be converted to a single utility weight or "index score", using a set of values derived from a sample of the general population.
PCA is a mathematical process that converts the values of a set of possibly-correlated variables into a set of values of uncorrelated variables which are called principal components.
"We're talking about a set of values".
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com