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

Distance values, i.e. object storing an actual distance value along with comparison functions and value parsers.

See:
Description

Interface Summary

Distance<D extends Distance<D>>

The interface Distance defines the requirements of any instance class.

Class Summary

AbstractDistance<D extends AbstractDistance<D>>	An abstract distance implements equals conveniently for any extending class.
BitDistance	Provides a Distance for a bit-valued distance.
CorrelationDistance<D extends CorrelationDistance<D>>	The correlation distance 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	Provides an integer distance value.
NumberDistance<D extends NumberDistance<D,N>,N extends Number>	Provides a Distance for a number-valued distance.
PCACorrelationDistance	The correlation distance is a special Distance that indicates the dissimilarity between correlation connected objects.
PreferenceVectorBasedCorrelationDistance	A PreferenceVectorBasedCorrelationDistance holds additionally to the CorrelationDistance the common preference vector of the two objects defining the distance.
SubspaceDistance	The subspace distance is a special distance that indicates the dissimilarity between subspaces of equal dimensionality.

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

Distance values, i.e. object storing an actual distance value along with comparison functions and value parsers.

Distances follow a factory pattern. Usually, a class will have a static instance called FACTORY that can be used to obtain e.g. infinity or zero distances as well as parse a string value into a new distance value.