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Accord.NET (logo) IndependentComponentAnalysis Properties

The IndependentComponentAnalysis type exposes the following members.

Properties
  NameDescription
Public propertyAlgorithm
Gets or sets the FastICA algorithm used by the analysis.
Public propertyComponents
Gets the Independent Components in a object-oriented structure.
Public propertyContrast
Gets or sets the Contrast function to be used by the analysis.
Public propertyDemixingMatrix
Gets a matrix containing the demixing coefficients for the original source data being analyzed. Each column corresponds to an independent component.
Public propertyIterations
Gets or sets the maximum number of iterations to perform. If zero, the method will run until convergence.
Public propertyMeans
Gets the column means of the original data.
Public propertyMethod
Gets or sets the normalization method used for this analysis.
Public propertyMixingMatrix
Gets a matrix containing the mixing coefficients for the original source data being analyzed. Each column corresponds to an independent component.
Public propertyNumberOfInputs
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.)
Public propertyNumberOfOutputs
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.)
Public propertyOverwrite
Gets or sets whether calculations will be performed overwriting data in the original source matrix, using less memory.
Public propertyParallelOptions
Gets or sets the parallelization options for this algorithm.
Public propertyResult Obsolete.
Gets the resulting projection of the source data given on the creation of the analysis into the space spawned by independent components.
Public propertySource Obsolete.
Source data used in the analysis.
Public propertyStandardDeviation
Gets the column standard deviations of the original data.
Public propertyToken
Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.
Public propertyTolerance
Gets or sets the maximum absolute change in parameters between iterations that determine convergence.
Public propertyWhiteningMatrix
Gets the whitening matrix used to transform the original data to have unit variance.
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