Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

de.lmu.ifi.dbs.elki.distance.similarityfunction
Interface NormalizedSimilarityFunction<O extends DatabaseObject,D extends Distance<D>>

Type Parameters:
O - object type
D - distance type
All Superinterfaces:
MeasurementFunction<O,D>, Parameterizable, SimilarityFunction<O,D>
All Known Implementing Classes:
FractionalSharedNearestNeighborSimilarityFunction

public interface NormalizedSimilarityFunction<O extends DatabaseObject,D extends Distance<D>>
extends SimilarityFunction<O,D>

Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1].

Author:
Erich Schubert

Method Summary
 
Methods inherited from interface de.lmu.ifi.dbs.elki.distance.similarityfunction.SimilarityFunction
similarity, similarity, similarity
 
Methods inherited from interface de.lmu.ifi.dbs.elki.distance.MeasurementFunction
infiniteDistance, isInfiniteDistance, isNullDistance, isUndefinedDistance, nullDistance, requiredInputPattern, setDatabase, undefinedDistance, valueOf
 
Methods inherited from interface de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable
checkGlobalParameterConstraints, collectOptions, getParameters, setParameters, shortDescription
 


Release 0.2.1 (2009-07-13_1605)