de.lmu.ifi.dbs.elki.distance.similarityfunction
Class ClusterSimilarity

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
          de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction<O,D>
              de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractSimilarityFunction<O,IntegerDistance>
                  de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIntegerSimilarityFunction<Cluster<?>>
                      de.lmu.ifi.dbs.elki.distance.similarityfunction.ClusterSimilarity

All Implemented Interfaces:

MeasurementFunction<Cluster<?>,IntegerDistance>, SimilarityFunction<Cluster<?>,IntegerDistance>, Loggable, Parameterizable

public class ClusterSimilarity
extends AbstractIntegerSimilarityFunction<Cluster<?>>

Author:

Arthur Zimek

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

INFINITY_PATTERN

Fields inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

optionHandler

Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debug

Constructor Summary

ClusterSimilarity()

Method Summary

IntegerDistance	similarity(Cluster<?> o1, Cluster<?> o2) Computes the similarity between two given DatabaseObjects according to this similarity function.
IntegerDistance	similarity(Integer id1, Cluster<?> cluster2) Returns the similarity between the two specified objects.
IntegerDistance	similarity(Integer id1, Integer id2) Returns the similarity between the two objects specified by their object ids.

Methods inherited from class de.lmu.ifi.dbs.elki.distance.similarityfunction.AbstractIntegerSimilarityFunction

infiniteDistance, isInfiniteDistance, isNullDistance, isUndefinedDistance, nullDistance, undefinedDistance, valueOf

Methods inherited from class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

getDatabase, matches, requiredInputPattern, setDatabase, setRequiredInputPattern

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

addOption, checkGlobalParameterConstraints, deleteOption, description, description, description, getAttributeSettings, getParameters, getParameterValue, getPossibleOptions, inlineDescription, isSet, setParameters, setParameters

Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debugFine, debugFiner, debugFinest, exception, message, progress, progress, progress, verbose, verbose, warning

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.MeasurementFunction

requiredInputPattern, setDatabase

Methods inherited from interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable

checkGlobalParameterConstraints, description, getAttributeSettings, getParameters, getPossibleOptions, inlineDescription, setParameters

Constructor Detail

ClusterSimilarity

public ClusterSimilarity()

Method Detail

similarity

public IntegerDistance similarity(Integer id1,
                                  Integer id2)

Description copied from interface: SimilarityFunction

Returns the similarity between the two objects specified by their object ids.

Parameters:

id1 - first object id

id2 - second object id

Returns:

the similarity between the two objects specified by their object ids

similarity

public IntegerDistance similarity(Cluster<?> o1,
                                  Cluster<?> o2)

Description copied from interface: SimilarityFunction

Computes the similarity between two given DatabaseObjects according to this similarity function.

Specified by:

similarity in interface SimilarityFunction<Cluster<?>,IntegerDistance>

Overrides:

similarity in class AbstractSimilarityFunction<Cluster<?>,IntegerDistance>

Parameters:

o1 - first DatabaseObject

o2 - second DatabaseObject

Returns:

the similarity between two given DatabaseObjects according to this similarity function

similarity

public IntegerDistance similarity(Integer id1,
                                  Cluster<?> cluster2)

Description copied from interface: SimilarityFunction

Returns the similarity between the two specified objects.

Specified by:

similarity in interface SimilarityFunction<Cluster<?>,IntegerDistance>

Overrides:

similarity in class AbstractSimilarityFunction<Cluster<?>,IntegerDistance>

Parameters:

id1 - first object id

cluster2 - second DatabaseObject

Returns:

the similarity between the two objects specified by their object ids