PrincipalComponentAnalysis Properties

Gets a matrix whose columns contain the principal components. Also known as the Eigenvectors or loadings matrix.

The respective role each component plays in the data set.

Gets the Principal Components in a object-oriented structure.

Gets a matrix whose columns contain the principal components. Also known as the Eigenvectors or loadings matrix.

The cumulative distribution of the components proportion role. Also known as the cumulative energy of the principal components.

Provides access to the Eigenvalues stored during the analysis.

Gets or sets the amount of explained variance that should be generated by this model. This value will alter the NumberOfOutputs that can be generated by this model.

Gets the maximum number of outputs (dimensionality of the output vectors) that can be generated by this model.

Gets the column mean of the source data given at method construction.

Gets or sets the method used by this analysis.

Gets the number of inputs accepted by the model.

Gets or sets the number of outputs (dimensionality of the output vectors) that should be generated by this model.

Gets or sets whether calculations will be performed overwriting data in the original source matrix, using less memory.

Gets the resulting projection of the source data given on the creation of the analysis into the space spawned by principal components.

Provides access to the Singular Values stored during the analysis. If a covariance method is chosen, then it will contain an empty vector.

Returns the original data supplied to the analysis.

Gets the column standard deviations of the source data given at method construction.

Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.

Gets or sets whether the transformation result should be whitened (have unit standard deviation) before it is returned.