IndependentComponentAnalysis Properties 
The IndependentComponentAnalysis type exposes the following members.
Name  Description  

Algorithm 
Gets or sets the
FastICA algorithm used by the analysis.
 
Components 
Gets the Independent Components in a objectoriented structure.
 
Contrast 
Gets or sets the
Contrast function to be used by the analysis.
 
DemixingMatrix 
Gets a matrix containing the demixing coefficients for
the original source data being analyzed. Each column
corresponds to an independent component.
 
Iterations 
Gets or sets the maximum number of iterations
to perform. If zero, the method will run until
convergence.
 
Means 
Gets the column means of the original data.
 
Method 
Gets or sets the normalization method used for this analysis.
 
MixingMatrix 
Gets a matrix containing the mixing coefficients for
the original source data being analyzed. Each column
corresponds to an independent component.
 
NumberOfInputs 
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.)  
NumberOfOutputs 
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.)  
Overwrite 
Gets or sets whether calculations will be performed overwriting
data in the original source matrix, using less memory.
 
ParallelOptions 
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.
 
StandardDeviation 
Gets the column standard deviations of the original data.
 
Token 
Gets or sets a cancellation token that can be used
to cancel the algorithm while it is running.
 
Tolerance 
Gets or sets the maximum absolute change in
parameters between iterations that determine
convergence.
 
WhiteningMatrix 
Gets the whitening matrix used to transform
the original data to have unit variance.
