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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Available identifiers of input covariances for the EM for GMM algorithm
| Enumerator |
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| inputCovariances |
Collection of input covariances
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Available identifiers of input objects of the EM for GMM algorithm
| Enumerator |
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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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Available identifiers of input values for the EM for GMM algorithm
| Enumerator |
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| inputValues |
Input objects of the EM for GMM algorithm
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Available methods for computing results of the EM for GMM algorithm
| Enumerator |
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| defaultDense |
Default: performance-oriented method.
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Available identifiers of computed covariances for the EM for GMM algorithm
| Enumerator |
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| covariances |
Collection of covariances
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Available identifiers of results (means or weights) of the EM for GMM algorithm
| Enumerator |
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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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