de.lmu.ifi.dbs.elki.index.preprocessed.preference

Class DiSHPreferenceVectorIndex.Factory<V extends NumberVector<?>>

java.lang.Object

de.lmu.ifi.dbs.elki.index.preprocessed.preference.AbstractPreferenceVectorIndex.Factory<V,DiSHPreferenceVectorIndex<V>>

de.lmu.ifi.dbs.elki.index.preprocessed.preference.DiSHPreferenceVectorIndex.Factory<V>

Type Parameters:

V - Vector type

All Implemented Interfaces:

IndexFactory<V,DiSHPreferenceVectorIndex<V>>, PreferenceVectorIndex.Factory<V,DiSHPreferenceVectorIndex<V>>, InspectionUtilFrequentlyScanned, Parameterizable

Enclosing class:

DiSHPreferenceVectorIndex<V extends NumberVector<?>>

public static class DiSHPreferenceVectorIndex.Factory<V extends NumberVector<?>>
extends AbstractPreferenceVectorIndex.Factory<V,DiSHPreferenceVectorIndex<V>>

Factory class.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	DiSHPreferenceVectorIndex.Factory.Parameterizer<V extends NumberVector<?>> Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private static String	CONDITION Description for the determination of the preference vector.
static DoubleDistance	DEFAULT_EPSILON The default value for epsilon.
static DiSHPreferenceVectorIndex.Strategy	DEFAULT_STRATEGY Default strategy.
protected DoubleDistance[]	epsilon The epsilon value for each dimension.
static OptionID	EPSILON_ID A comma separated list of positive doubles specifying the maximum radius of the neighborhood to be considered in each dimension for determination of the preference vector (default is DEFAULT_EPSILON in each dimension).
protected int	minpts Threshold for minimum number of points in the neighborhood.
static OptionID	MINPTS_ID Positive threshold for minimum numbers of points in the epsilon-neighborhood of a point, must satisfy following CONDITION.
static String	MINPTS_P Option name for MINPTS_ID.
protected DiSHPreferenceVectorIndex.Strategy	strategy The strategy to determine the preference vector.
static OptionID	STRATEGY_ID The strategy for determination of the preference vector, available strategies are: DiSHPreferenceVectorIndex.Strategy.APRIORI and DiSHPreferenceVectorIndex.Strategy.MAX_INTERSECTION.

Constructor Summary

Constructors

Constructor and Description
DiSHPreferenceVectorIndex.Factory(DoubleDistance[] epsilon, int minpts, DiSHPreferenceVectorIndex.Strategy strategy) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
int	getMinpts() Return the minpts value.
DiSHPreferenceVectorIndex<V>	instantiate(Relation<V> relation) Instantiate the index for a given database.

Methods inherited from class de.lmu.ifi.dbs.elki.index.preprocessed.preference.AbstractPreferenceVectorIndex.Factory

getInputTypeRestriction

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_EPSILON

public static final DoubleDistance DEFAULT_EPSILON

The default value for epsilon.

EPSILON_ID

public static final OptionID EPSILON_ID

A comma separated list of positive doubles specifying the maximum radius of the neighborhood to be considered in each dimension for determination of the preference vector (default is DEFAULT_EPSILON in each dimension). If only one value is specified, this value will be used for each dimension.

Key: -dish.epsilon

Default value: DEFAULT_EPSILON

MINPTS_P

public static final String MINPTS_P

Option name for MINPTS_ID.

See Also:

Constant Field Values

CONDITION

private static final String CONDITION

Description for the determination of the preference vector.

See Also:

Constant Field Values

MINPTS_ID

public static final OptionID MINPTS_ID

Positive threshold for minimum numbers of points in the epsilon-neighborhood of a point, must satisfy following CONDITION.

Key: -dish.minpts

DEFAULT_STRATEGY

public static final DiSHPreferenceVectorIndex.Strategy DEFAULT_STRATEGY

Default strategy.

STRATEGY_ID

public static final OptionID STRATEGY_ID

The strategy for determination of the preference vector, available strategies are: DiSHPreferenceVectorIndex.Strategy.APRIORI and DiSHPreferenceVectorIndex.Strategy.MAX_INTERSECTION.

Key: -dish.strategy

Default value: DEFAULT_STRATEGY

epsilon

protected DoubleDistance[] epsilon

The epsilon value for each dimension.

minpts

protected int minpts

Threshold for minimum number of points in the neighborhood.

strategy

protected DiSHPreferenceVectorIndex.Strategy strategy

The strategy to determine the preference vector.

Constructor Detail

DiSHPreferenceVectorIndex.Factory

public DiSHPreferenceVectorIndex.Factory(DoubleDistance[] epsilon,
                                 int minpts,
                                 DiSHPreferenceVectorIndex.Strategy strategy)

Constructor.

Parameters:

epsilon - Epsilon

minpts - Minpts

strategy - Strategy

Method Detail

instantiate

public DiSHPreferenceVectorIndex<V> instantiate(Relation<V> relation)

Description copied from interface: PreferenceVectorIndex.Factory

Instantiate the index for a given database.

Specified by:

instantiate in interface IndexFactory<V extends NumberVector<?>,DiSHPreferenceVectorIndex<V extends NumberVector<?>>>

Specified by:

instantiate in interface PreferenceVectorIndex.Factory<V extends NumberVector<?>,DiSHPreferenceVectorIndex<V extends NumberVector<?>>>

Specified by:

instantiate in class AbstractPreferenceVectorIndex.Factory<V extends NumberVector<?>,DiSHPreferenceVectorIndex<V extends NumberVector<?>>>

Parameters:

relation - Relation to use

Returns:

Index

getMinpts

public int getMinpts()

Return the minpts value.

Returns:

minpts