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

Class P3C.Parameterizer<V extends NumberVector>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.P3C.Parameterizer<V>

All Implemented Interfaces:

Parameterizer

Enclosing class:

P3C<V extends NumberVector>

public static class P3C.Parameterizer<V extends NumberVector>
extends AbstractParameterizer

Parameterization class.

Author:

Florian Nuecke

Field Summary

Fields

Modifier and Type	Field and Description
protected double	alpha Parameter for the chi squared test threshold.
static OptionID	ALPHA_THRESHOLD_ID Parameter for the chi squared test threshold.
static OptionID	EM_DELTA_ID Threshold when to stop EM iterations.
protected double	emDelta Threshold when to stop EM iterations.
static OptionID	MAX_EM_ITERATIONS_ID Maximum number of iterations for the EM step.
protected int	maxEmIterations Maximum number of iterations for the EM step.
static OptionID	MIN_CLUSTER_SIZE_ID Minimum cluster size for noise flagging.
protected int	minClusterSize Minimum cluster size for noise flagging.
static OptionID	POISSON_THRESHOLD_ID Parameter for the poisson test threshold.
protected double	poissonThreshold Parameter for the poisson test threshold.

Constructor Summary

Constructors

Constructor and Description
Parameterizer()

Method Summary

Modifier and Type	Method and Description
protected P3C<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

ALPHA_THRESHOLD_ID

public static final OptionID ALPHA_THRESHOLD_ID

Parameter for the chi squared test threshold.

POISSON_THRESHOLD_ID

public static final OptionID POISSON_THRESHOLD_ID

Parameter for the poisson test threshold.

MAX_EM_ITERATIONS_ID

public static final OptionID MAX_EM_ITERATIONS_ID

Maximum number of iterations for the EM step.

EM_DELTA_ID

public static final OptionID EM_DELTA_ID

Threshold when to stop EM iterations.

MIN_CLUSTER_SIZE_ID

public static final OptionID MIN_CLUSTER_SIZE_ID

Minimum cluster size for noise flagging. (Not existant in the original publication).

alpha

protected double alpha

Parameter for the chi squared test threshold. While statistical values such as 0.01 are a good choice, we found the need to modify this parameter in our experiments.

poissonThreshold

protected double poissonThreshold

Parameter for the poisson test threshold.

maxEmIterations

protected int maxEmIterations

Maximum number of iterations for the EM step.

emDelta

protected double emDelta

Threshold when to stop EM iterations.

minClusterSize

protected int minClusterSize

Minimum cluster size for noise flagging. (Not existant in the original publication).

Constructor Detail

Parameterizer

public 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 P3C<V> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance