Principal Component Analysis


Synopsis

Performs a principal component analysis (PCA) using the covariance matrix.


Description

This operator performs a principal components analysis (PCA) using the covariance matrix. The user can specify the amount of variance to cover in the original data when retaining the best number of principal components. The user can also specify manually the number of principal components. The operator outputs a PCAModel. With the ModelApplier you can transform the features.


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ExampleProcess