de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
Class DTWDistanceFunction<V extends NumberVector<V,?>>
java.lang.Object
de.lmu.ifi.dbs.elki.logging.AbstractLoggable
de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction<O,D>
de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDistanceFunction<V,DoubleDistance>
de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.AbstractEditDistanceFunction<V>
de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries.DTWDistanceFunction<V>
- Type Parameters:
V
- the type of FeatureVector to compute the distances in between
- All Implemented Interfaces:
- DistanceFunction<V,DoubleDistance>, MeasurementFunction<V,DoubleDistance>, Parameterizable
public class DTWDistanceFunction<V extends NumberVector<V,?>>
- extends AbstractEditDistanceFunction<V>
Provides the Dynamic Time Warping distance for FeatureVectors.
- Author:
- Thomas Bernecker
Method Summary |
DoubleDistance |
distance(V v1,
V v2)
Provides the Dynamic Time Warping distance between the given two vectors. |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
DTWDistanceFunction
public DTWDistanceFunction(Parameterization config)
- Constructor, adhering to
Parameterizable
- Parameters:
config
- Parameterization
distance
public DoubleDistance distance(V v1,
V v2)
- Provides the Dynamic Time Warping distance between the given two vectors.
- Parameters:
v1
- first DatabaseObjectv2
- second DatabaseObject
- Returns:
- the Dynamic Time Warping distance between the given two vectors as
an instance of
DoubleDistance
.