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GaussianMixtureModel Properties

The GaussianMixtureModel type exposes the following members.

Properties
  NameDescription
Public propertyClusters
Gets the collection of clusters currently modeled by the clustering algorithm.
Public propertyComputeLabels
Gets or sets whether cluster labels should be computed at the end of the learning iteration. Setting to False might save a few computations in case they are not necessary.
Public propertyComputeLogLikelihood
Gets or sets whether the log-likelihood should be computed at the end of the learning iteration. Setting to False might save a few computations in case they are not necessary.
Public propertyGaussians
Gets the Gaussian components of the mixture model.
Public propertyInitializations
Gets or sets how many random initializations to try. Default is 3.
Public propertyIterations
Public propertyLogLikelihood
Gets the log-likelihood of the model at the last iteration.
Public propertyMaxIterations
Gets or sets the maximum number of iterations to be performed by the method. If set to zero, no iteration limit will be imposed. Default is 0.
Public propertyOptions
Gets or sets the fitting options for the component Gaussian distributions of the mixture model.
Public propertyParallelOptions
Gets or sets the parallelization options for this algorithm.
(Inherited from ParallelLearningBase.)
Public propertyToken
Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.
(Inherited from ParallelLearningBase.)
Public propertyTolerance
Gets or sets the convergence criterion for the Expectation-Maximization algorithm. Default is 1e-3.
Public propertyUseLogarithm
Gets or sets whether to make computations using the log -domain. This might improve accuracy on large datasets.
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