The IndependentComponentAnalysis type exposes the following members.
Gets or sets the FastICA algorithm used by the analysis.
Gets the Independent Components in a object-oriented structure.
Gets or sets the Contrast function to be used by the analysis.
Gets a matrix containing the demixing coefficients for the original source data being analyzed. Each column corresponds to an independent component.
Gets or sets the maximum number of iterations to perform. If zero, the method will run until convergence.
Gets the column means of the original data.
Gets or sets the normalization method used for this analysis.
Gets a matrix containing the mixing coefficients for the original source data being analyzed. Each column corresponds to an independent component.
Gets the number of inputs accepted by the model.(Inherited from TransformBaseTInput, TOutput.)
Gets the number of outputs generated by the model.(Inherited from TransformBaseTInput, TOutput.)
Gets or sets whether calculations will be performed overwriting data in the original source matrix, using less memory.
Gets or sets the parallelization options for this algorithm.
|Result|| Obsolete. |
Gets the resulting projection of the source data given on the creation of the analysis into the space spawned by independent components.
|Source|| Obsolete. |
Source data used in the analysis.
Gets the column standard deviations of the original data.
Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.
Gets or sets the maximum absolute change in parameters between iterations that determine convergence.
Gets the whitening matrix used to transform the original data to have unit variance.