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BasePrincipalComponentAnalysis Properties |
The BasePrincipalComponentAnalysis type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | ComponentMatrix | Obsolete.
Gets a matrix whose columns contain the principal components. Also known as the Eigenvectors or loadings matrix.
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| ComponentProportions |
The respective role each component plays in the data set.
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| Components |
Gets the Principal Components in a object-oriented structure.
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| ComponentVectors |
Gets a matrix whose columns contain the principal components. Also known as the Eigenvectors or loadings matrix.
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| CumulativeProportions |
The cumulative distribution of the components proportion role. Also known
as the cumulative energy of the principal components.
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| Eigenvalues |
Provides access to the Eigenvalues stored during the analysis.
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| ExplainedVariance |
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.
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| MaximumNumberOfOutputs |
Gets the maximum number of outputs (dimensionality of the output vectors)
that can be generated by this model.
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| Means |
Gets the column mean of the source data given at method construction.
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| Method |
Gets or sets the method used by this analysis.
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| NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.) |
| NumberOfOutputs |
Gets or sets the number of outputs (dimensionality of the output vectors)
that should be generated by this model.
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| Overwrite |
Gets or sets whether calculations will be performed overwriting
data in the original source matrix, using less memory.
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| Result | Obsolete.
Gets the resulting projection of the source
data given on the creation of the analysis
into the space spawned by principal components.
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| SingularValues |
Provides access to the Singular Values stored during the analysis.
If a covariance method is chosen, then it will contain an empty vector.
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| Source | Obsolete.
Returns the original data supplied to the analysis.
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| StandardDeviations |
Gets the column standard deviations of the source data given at method construction.
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| Token |
Gets or sets a cancellation token that can be used
to cancel the algorithm while it is running.
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| Whiten |
Gets or sets whether the transformation result should be whitened
(have unit standard deviation) before it is returned.
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See Also