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