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
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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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