Package org.knime.base.node.mine.pca

This package contains all classes for the PCA (principal component analysis) Node.

See:
          Description

Class Summary
DialogComponentChoiceConfig dialog component for dimension selection in PCA configuration, used for SettingsModelPCADimensions
EigenValue This class describes an eigenvalue, eigenvector pair, comparable by absolute of eigenvalue.
PCAApplyNodeDialog Node dialog for PCA predictor node.
PCAApplyNodeFactory Factory class for PCA predictor.
PCAApplyNodeModel PCA Predictor.
PCAComputeNodeDialog Node dialog for PCA Learner.
PCAComputeNodeFactory Factory for PCA learner node.
PCAComputeNodeModel Node for PCA learning.
PCAModelPortObject Port model object transporting the pca transformation.
PCAModelPortObjectSpec Spec for pca model port object.
PCANodeDialog Dialog for the PCA node.
PCANodeFactory Factory class for the PCA Node.
PCANodeModel The model class that implements the PCA on the input table.
PCAReverseNodeDialog Dialog for pca inversion.
PCAReverseNodeFactory factory for pca inversion node.
PCAReverseNodeModel Invert PCA transformation to transform data back to original space.
SettingsModelPCADimensions Settings model, where either an integer (like number of dimensions) or a double like reproduction percentage can be chosen.
 

Package org.knime.base.node.mine.pca Description

This package contains all classes for the PCA (principal component analysis) Node. The node outputs the projection of the input columns to their principal components.



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University of Konstanz, Germany.
Chair for Bioinformatics and Information Mining, Prof. Dr. Michael R. Berthold.
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