See: Description
| Interface | Description |
|---|---|
| DensityFunction<T> |
Density estimation based on training.
|
| Class | Description |
|---|---|
| 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.
|
| SimpleMKLDensity<T> |
Density estimation using an adapted version of SimpleMKL.
|
| SMODensity<T> |
Density function based on SMO algorithm.
|