Package de.lmu.ifi.dbs.elki.distance

Package collects distances and - in its subpackages - distance and similarity functions.

See:
Description

Interface Summary

Distance<D extends Distance<D>>	The interface Distance defines the requirements of any instance class.
MeasurementFunction<O extends DatabaseObject,D extends Distance<D>>	Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects.

Class Summary

AbstractDistance<D extends AbstractDistance<D>>	An abstract distance implements equals conveniently for any extending class.
AbstractMeasurementFunction<O extends DatabaseObject,D extends Distance<D>>	Abstract Measurement Function provides some methods valid for any extending class.
BitDistance	TODO arthur comment
CorrelationDistance<D extends CorrelationDistance<D>>	The CorrelationDistance is a special Distance that indicates the dissimilarity between correlation connected objects.
DoubleDistance	Provides a Distance for a double-valued distance.
FloatDistance	Provides a Distance for a float-valued distance.
IntegerDistance
NumberDistance<D extends NumberDistance<D>>	Provides a Distance for a number-valued distance.
PreferenceVectorBasedCorrelationDistance	A PreferenceVectorBasedCorrelationDistance holds additionally to the CorrelationDistance the common preference vector of the two objects defining the distance.
SubspaceDistance<D extends SubspaceDistance<D>>	The SubspaceDistance is a special distance that indicates the dissimilarity between subspaces of equal dimensionality.

Package de.lmu.ifi.dbs.elki.distance Description

Package collects distances and - in its subpackages - distance and similarity functions.