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GaussianMixtureModelOptions Properties |
The GaussianMixtureModelOptions type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Iterations |
Gets or sets the maximum number of iterations
to be performed by the Expectation-Maximization
algorithm. Default is zero (iterate until convergence).
|
| Logarithm |
Gets or sets whether to make computations using the log
-domain. This might improve accuracy on large datasets.
|
| NormalOptions |
Gets or sets the fitting options for the component
Gaussian distributions of the mixture model.
|
| ParallelOptions |
Gets or sets parallelization options.
|
| Threshold |
Gets or sets the convergence criterion for the
Expectation-Maximization algorithm. Default is 1e-3.
|
| Weights |
Gets or sets the sample weights. If set to null,
the data will be assumed equal weights. Default
is null.
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See Also