Parameter for the computation of initial values for the EM for GMM algorithm
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def __init__ |
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Constructs parameters of the EM for GMM algorithm
- Parameters
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nComponents | Number of components in the Gaussian mixture model |
nTrials | Number of trials of short EM runs |
nIterations | Number of iterations in every short EM run |
seed | Seed for randomly generating data points to start the initialization of short EM |
accuracyThreshold | Threshold for the termination of the algorithm |
covarianceStorage | Type of covariance in the Gaussian mixture model |
Checks the correctness of the parameter
Threshold for the termination of the algorithm
Type of covariance in the Gaussian mixture model.
Number of components in the Gaussian mixture model
Number of iterations in every short EM run
Number of trials of short EM runs
Seed for randomly generating data points to start the initialization of short EM
The documentation for this class was generated from the following file: