O
- vector typeD
- distance typepublic static class SimpleKernelDensityLOF.Parameterizer<O extends NumberVector<?>,D extends NumberDistance<D,?>> extends AbstractDistanceBasedAlgorithm.Parameterizer<O,D>
Modifier and Type | Field and Description |
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protected int |
k
The neighborhood size to use.
|
(package private) KernelDensityFunction |
kernel
Kernel density function parameter
|
static OptionID |
KERNEL_ID
Option ID for kernel density LOF kernel.
|
distanceFunction
Constructor and Description |
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SimpleKernelDensityLOF.Parameterizer() |
Modifier and Type | Method and Description |
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protected SimpleKernelDensityLOF<O,D> |
makeInstance()
Make an instance after successful configuration.
|
protected void |
makeOptions(Parameterization config)
Add all options.
|
configure, make
public static final OptionID KERNEL_ID
protected int k
KernelDensityFunction kernel
public SimpleKernelDensityLOF.Parameterizer()
protected void makeOptions(Parameterization config)
AbstractParameterizer
makeOptions
in class AbstractDistanceBasedAlgorithm.Parameterizer<O extends NumberVector<?>,D extends NumberDistance<D,?>>
config
- Parameterization to add options to.protected SimpleKernelDensityLOF<O,D> makeInstance()
AbstractParameterizer
makeInstance
in class AbstractParameterizer