de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
Class DimensionsSelectingEuclideanDistanceFunction<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.subspace.AbstractDimensionsSelectingDoubleDistanceFunction<V>
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction<V>
- Type Parameters:
V
- the type of FeatureVector to compute the distances in between
- All Implemented Interfaces:
- DistanceFunction<V,DoubleDistance>, MeasurementFunction<V,DoubleDistance>, SpatialDistanceFunction<V,DoubleDistance>, Parameterizable
public class DimensionsSelectingEuclideanDistanceFunction<V extends NumberVector<V,?>>
- extends AbstractDimensionsSelectingDoubleDistanceFunction<V>
- implements SpatialDistanceFunction<V,DoubleDistance>
Provides a distance function that computes the Euclidean distance between
feature vectors only in specified dimensions.
- Author:
- Elke Achtert
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
DimensionsSelectingEuclideanDistanceFunction
public DimensionsSelectingEuclideanDistanceFunction(Parameterization config)
- Constructor, adhering to
Parameterizable
- Parameters:
config
- Parameterization
distance
public DoubleDistance distance(V v1,
V v2)
- Provides the Euclidean distance between two given feature vectors in the
selected dimensions.
- Specified by:
distance
in interface DistanceFunction<V extends NumberVector<V,?>,DoubleDistance>
- Parameters:
v1
- first feature vectorv2
- second feature vector
- Returns:
- the Euclidean distance between two given feature vectors in the
selected dimensions
minDist
public DoubleDistance minDist(HyperBoundingBox mbr,
V v)
- Description copied from interface:
SpatialDistanceFunction
- Computes the minimum distance between the given MBR and the FeatureVector object
according to this distance function.
- Specified by:
minDist
in interface SpatialDistanceFunction<V extends NumberVector<V,?>,DoubleDistance>
- Parameters:
mbr
- the MBR objectv
- the FeatureVector object
- Returns:
- the minimum distance between the given MBR and the FeatureVector object
according to this distance function
minDist
public DoubleDistance minDist(HyperBoundingBox mbr,
Integer id)
- Description copied from interface:
SpatialDistanceFunction
- Computes the minimum distance between the given MBR and the FeatureVector object
with the given id according to this distance function.
- Specified by:
minDist
in interface SpatialDistanceFunction<V extends NumberVector<V,?>,DoubleDistance>
- Parameters:
mbr
- the MBR objectid
- the id of the FeatureVector object
- Returns:
- the minimum distance between the given MBR and the FeatureVector object
according to this distance function
distance
public DoubleDistance distance(HyperBoundingBox mbr1,
HyperBoundingBox mbr2)
- Description copied from interface:
SpatialDistanceFunction
- Computes the distance between the two given MBRs
according to this distance function.
- Specified by:
distance
in interface SpatialDistanceFunction<V extends NumberVector<V,?>,DoubleDistance>
- Parameters:
mbr1
- the first MBR objectmbr2
- the second MBR object
- Returns:
- the distance between the two given MBRs according to this distance function
centerDistance
public DoubleDistance centerDistance(HyperBoundingBox mbr1,
HyperBoundingBox mbr2)
- Description copied from interface:
SpatialDistanceFunction
- Computes the distance between the centroids of the two given MBRs
according to this distance function.
- Specified by:
centerDistance
in interface SpatialDistanceFunction<V extends NumberVector<V,?>,DoubleDistance>
- Parameters:
mbr1
- the first MBR objectmbr2
- the second MBR object
- Returns:
- the distance between the centroids of the two given MBRs
according to this distance function