Package elki.clustering.onedimensional

Class KNNKernelDensityMinimaClustering.Par

java.lang.Object

elki.clustering.onedimensional.KNNKernelDensityMinimaClustering.Par

All Implemented Interfaces:

elki.utilities.optionhandling.Parameterizer

Enclosing class:

KNNKernelDensityMinimaClustering

public static class KNNKernelDensityMinimaClustering.Par
extends java.lang.Object
implements elki.utilities.optionhandling.Parameterizer

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field	Description
protected int	dim	Dimension to use for clustering.
static elki.utilities.optionhandling.OptionID	DIM_ID	Dimension to use for clustering.
protected int	k	Number of neighbors to use for bandwidth.
static elki.utilities.optionhandling.OptionID	K_ID	Number of neighbors for bandwidth estimation.
protected elki.math.statistics.kernelfunctions.KernelDensityFunction	kernel	Kernel density function.
static elki.utilities.optionhandling.OptionID	KERNEL_ID	Kernel function.
protected int	minwindow	Window width, for local minima criterions.
protected KNNKernelDensityMinimaClustering.Mode	mode	Estimation modes.
static elki.utilities.optionhandling.OptionID	MODE_ID	KDE mode.
static elki.utilities.optionhandling.OptionID	WINDOW_ID	Half window width to find local minima.

Constructor Summary

Constructors

Constructor	Description
Par()

Method Summary

Modifier and Type	Method	Description
void	configure(elki.utilities.optionhandling.parameterization.Parameterization config)
KNNKernelDensityMinimaClustering	make()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

DIM_ID

public static final elki.utilities.optionhandling.OptionID DIM_ID

Dimension to use for clustering.

KERNEL_ID

public static final elki.utilities.optionhandling.OptionID KERNEL_ID

Kernel function.

MODE_ID

public static final elki.utilities.optionhandling.OptionID MODE_ID

KDE mode.

K_ID

public static final elki.utilities.optionhandling.OptionID K_ID

Number of neighbors for bandwidth estimation.

WINDOW_ID

public static final elki.utilities.optionhandling.OptionID WINDOW_ID

Half window width to find local minima.

dim

protected int dim

Dimension to use for clustering.

kernel

protected elki.math.statistics.kernelfunctions.KernelDensityFunction kernel

Kernel density function.

mode

protected KNNKernelDensityMinimaClustering.Mode mode

Estimation modes.

k

protected int k

Number of neighbors to use for bandwidth.

minwindow

protected int minwindow

Window width, for local minima criterions.

Constructor Detail

Par

public Par()

Method Detail

configure

public void configure(elki.utilities.optionhandling.parameterization.Parameterization config)

Specified by:

configure in interface elki.utilities.optionhandling.Parameterizer

make

public KNNKernelDensityMinimaClustering make()

Specified by:

make in interface elki.utilities.optionhandling.Parameterizer