Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.clustering.em |
Expectation-Maximization clustering algorithm.
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Modifier and Type | Field and Description |
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(package private) CholeskyDecomposition |
MultivariateGaussianModel.chol
Decomposition of covariance matrix.
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(package private) CholeskyDecomposition |
TextbookMultivariateGaussianModel.chol
Decomposition of covariance matrix.
|
(package private) CholeskyDecomposition |
TwoPassMultivariateGaussianModel.chol
Decomposition of covariance matrix.
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Modifier and Type | Method and Description |
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private double |
MultivariateGaussianModel.getHalfLogDeterminant(CholeskyDecomposition chol)
Get 0.5 * log(det) of a cholesky decomposition.
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private double |
TextbookMultivariateGaussianModel.getHalfLogDeterminant(CholeskyDecomposition chol)
Get 0.5 * log(det) of a cholesky decomposition.
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private double |
TwoPassMultivariateGaussianModel.getHalfLogDeterminant(CholeskyDecomposition chol)
Get 0.5 * log(det) of a cholesky decomposition.
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Copyright © 2019 ELKI Development Team. License information.