de.lmu.ifi.dbs.elki.distance.distancefunction

Interface WeightedNumberVectorDistanceFunction<V>

Type Parameters:

V - Vector type, usually NumberVector or above.

All Superinterfaces:

DistanceFunction<V>, NumberVectorDistanceFunction<V>, PrimitiveDistanceFunction<V>

All Known Implementing Classes:

WeightedCanberraDistanceFunction, WeightedEuclideanDistanceFunction, WeightedLPNormDistanceFunction, WeightedManhattanDistanceFunction, WeightedMaximumDistanceFunction, WeightedPearsonCorrelationDistanceFunction, WeightedSquaredEuclideanDistanceFunction, WeightedSquaredPearsonCorrelationDistanceFunction

public interface WeightedNumberVectorDistanceFunction<V>
extends NumberVectorDistanceFunction<V>

Distance functions where each dimension is assigned a weight.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
static OptionID	WEIGHTS_ID Parameter to set the weights of the weighted distance function.

Method Summary

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.NumberVectorDistanceFunction

distance

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.PrimitiveDistanceFunction

distance, getInputTypeRestriction

Methods inherited from interface de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction

instantiate, isMetric, isSymmetric

Field Detail

WEIGHTS_ID

static final OptionID WEIGHTS_ID

Parameter to set the weights of the weighted distance function.