Contains classes for the EM for GMM algorithm.
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struct | Parameter |
| Parameter for the EM for GMM algorithm More...
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class | Input |
| Input objects for the EM for GMM algorithm More...
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class | Result |
| Provides methods to access final results obtained with the compute() method of the EM for GMM algorithm in the batch processing mode. More...
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◆ InputCovariancesId
Available identifiers of input covariances for the EM for GMM algorithm
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inputCovariances | Collection of input covariances
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◆ InputId
Available identifiers of input objects of the EM for GMM algorithm
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data | Input data table
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inputWeights | Input weights
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inputMeans | Input means
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◆ InputValuesId
Available identifiers of input values for the EM for GMM algorithm
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inputValues | Input objects of the EM for GMM algorithm
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◆ Method
Available methods for computing results of the EM for GMM algorithm
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defaultDense | Default: performance-oriented method.
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◆ ResultCovariancesId
Available identifiers of computed covariances for the EM for GMM algorithm
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covariances | Collection of covariances
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◆ ResultId
Available identifiers of results (means or weights) of the EM for GMM algorithm
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weights | Weights
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means | Means
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goalFunction | Table containing log-likelyhood value
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nIterations | Table containing the number of executed iterations
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