Package | Description |
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org.apache.commons.math3.distribution |
Implementations of common discrete and continuous distributions.
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org.apache.commons.math3.distribution.fitting |
Fitting of parameters against distributions.
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org.apache.commons.math3.filter |
Implementations of common discrete-time linear filters.
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Constructor and Description |
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MultivariateNormalDistribution(double[] means,
double[][] covariances)
Creates a multivariate normal distribution with the given mean vector and
covariance matrix.
|
MultivariateNormalDistribution(RandomGenerator rng,
double[] means,
double[][] covariances)
Creates a multivariate normal distribution with the given mean vector and
covariance matrix.
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Modifier and Type | Method and Description |
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void |
MultivariateNormalMixtureExpectationMaximization.fit(MixtureMultivariateNormalDistribution initialMixture)
Fit a mixture model to the data supplied to the constructor.
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void |
MultivariateNormalMixtureExpectationMaximization.fit(MixtureMultivariateNormalDistribution initialMixture,
int maxIterations,
double threshold)
Fit a mixture model to the data supplied to the constructor.
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Modifier and Type | Method and Description |
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void |
KalmanFilter.correct(double[] z)
Correct the current state estimate with an actual measurement.
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void |
KalmanFilter.correct(RealVector z)
Correct the current state estimate with an actual measurement.
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