See: Description
Interface | Description |
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DensityFunction<T> |
Density estimation based on training.
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Class | Description |
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DoubleGaussianMixtureModel |
Gaussian Mixture Model for estimating the density on arrays of double.
|
DoubleKMeans |
Very basic KMeans algorithm with a shifting codeword procedure to ensure no
empty cluster and balanced distortion
|
ParzenDensity<T> |
Parzen window for estimating the probability density function of a random variable.
|
SDCADensity<T> |
One Class SVM estimation using Stochastic Dual Coordinate Ascent.
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SimpleMKLDensity<T> |
Density estimation using an adapted version of SimpleMKL.
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SMODensity<T> |
Density function based on SMO algorithm.
|