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Results tagged with pca
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user 392987
Principal component analysis (PCA) is a linear dimensionality reduction technique. It reduces a multivariate dataset to a smaller set of constructed variables preserving as much information (as much variance) as possible. These variables, called principal components, are linear combinations of the input variables.
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PCA and scree plot and slope
We have to use the PCA such that each PC is orthogonal to one meaning every PC is independent of one another.
If you have 4 variables, then you will have 4 PC at maximum. …
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