org.tribuo.clustering.evaluation

Enum ClusteringMetrics

java.lang.Object

java.lang.Enum<ClusteringMetrics>

org.tribuo.clustering.evaluation.ClusteringMetrics

All Implemented Interfaces:

Serializable, Comparable<ClusteringMetrics>

public enum ClusteringMetrics
extends Enum<ClusteringMetrics>

Default metrics for evaluating clusterings.

Enum Constant Summary

Enum Constants

Enum Constant and Description
ADJUSTED_MI The normalized mutual information adjusted for chance.
NORMALIZED_MI The normalized mutual information between the two clusterings

Method Summary

Modifier and Type	Method and Description
static double	adjustedMI(org.tribuo.clustering.evaluation.ClusteringMetric.Context context) Calculates the adjusted normalized mutual information between two clusterings.
ClusteringMetric	forTarget(MetricTarget<ClusterID> tgt)
BiFunction<MetricTarget<ClusterID>,org.tribuo.clustering.evaluation.ClusteringMetric.Context,Double>	getImpl()
static double	normalizedMI(org.tribuo.clustering.evaluation.ClusteringMetric.Context context) Calculates the normalized mutual information between two clusterings.
static ClusteringMetrics	valueOf(String name) Returns the enum constant of this type with the specified name.
static ClusteringMetrics[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

NORMALIZED_MI

public static final ClusteringMetrics NORMALIZED_MI

The normalized mutual information between the two clusterings

ADJUSTED_MI

public static final ClusteringMetrics ADJUSTED_MI

The normalized mutual information adjusted for chance.

Method Detail

values

public static ClusteringMetrics[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (ClusteringMetrics c : ClusteringMetrics.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static ClusteringMetrics valueOf(String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

IllegalArgumentException - if this enum type has no constant with the specified name

NullPointerException - if the argument is null

getImpl

public BiFunction<MetricTarget<ClusterID>,org.tribuo.clustering.evaluation.ClusteringMetric.Context,Double> getImpl()

forTarget

public ClusteringMetric forTarget(MetricTarget<ClusterID> tgt)

adjustedMI

public static double adjustedMI(org.tribuo.clustering.evaluation.ClusteringMetric.Context context)

Calculates the adjusted normalized mutual information between two clusterings.

Parameters:

context - The context containing the predicted clustering and the ground truth.

Returns:

The adjusted normalized mutual information.

normalizedMI

public static double normalizedMI(org.tribuo.clustering.evaluation.ClusteringMetric.Context context)

Calculates the normalized mutual information between two clusterings.

Parameters:

context - The context containing the predicted clustering and the ground truth.

Returns:

The normalized mutual information.