de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional

Class KNNKernelDensityMinimaClustering.Parameterizer<V extends NumberVector>

java.lang.Object

de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional.KNNKernelDensityMinimaClustering.Parameterizer<V>

All Implemented Interfaces:

Parameterizer

Enclosing class:

KNNKernelDensityMinimaClustering<V extends NumberVector>

public static class KNNKernelDensityMinimaClustering.Parameterizer<V extends NumberVector>
extends AbstractParameterizer

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

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

Constructor Summary

Constructors

Constructor and Description
KNNKernelDensityMinimaClustering.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected KNNKernelDensityMinimaClustering<V>	makeInstance() Make an instance after successful configuration.
protected void	makeOptions(Parameterization config) Add all options.

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

configure, 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 OptionID DIM_ID

Dimension to use for clustering.

KERNEL_ID

public static final OptionID KERNEL_ID

Kernel function.

MODE_ID

public static final OptionID MODE_ID

KDE mode.

K_ID

public static final OptionID K_ID

Number of neighbors for bandwidth estimation.

WINDOW_ID

public static final OptionID WINDOW_ID

Half window width to find local minima.

dim

protected int dim

Dimension to use for clustering.

kernel

protected 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

KNNKernelDensityMinimaClustering.Parameterizer

public KNNKernelDensityMinimaClustering.Parameterizer()

Method Detail

makeOptions

protected void makeOptions(Parameterization config)

Description copied from class: AbstractParameterizer

Add all options. ALWAYS call super.makeOptions(config), unless you have a strong reason to do otherwise!

Overrides:

makeOptions in class AbstractParameterizer

Parameters:

config - Parameterization to add options to.

makeInstance

protected KNNKernelDensityMinimaClustering<V> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance