
@Alias(value="arccos") public class ArcCosineDistanceFunction extends AbstractSpatialDistanceFunction
arccos(<v1,v2>).| Modifier and Type | Class and Description |
|---|---|
static class |
ArcCosineDistanceFunction.Parameterizer
Parameterization class.
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| Modifier and Type | Field and Description |
|---|---|
static ArcCosineDistanceFunction |
STATIC
Static instance
|
| Constructor and Description |
|---|
ArcCosineDistanceFunction()
Deprecated.
Use static instance!
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| Modifier and Type | Method and Description |
|---|---|
double |
distance(NumberVector v1,
NumberVector v2)
Computes the cosine distance for two given feature vectors.
|
boolean |
equals(Object obj) |
SimpleTypeInformation<? super NumberVector> |
getInputTypeRestriction()
Get the input data type of the function.
|
double |
minDist(SpatialComparable mbr1,
SpatialComparable mbr2)
Computes the distance between the two given MBRs according to this distance
function.
|
String |
toString() |
instantiatedimensionality, dimensionality, dimensionality, dimensionalityisMetric, isSymmetricclone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitisMetric, isSymmetricpublic static final ArcCosineDistanceFunction STATIC
@Deprecated public ArcCosineDistanceFunction()
STATIC instead.public double distance(NumberVector v1, NumberVector v2)
arccos(<v1,v2>).distance in interface NumberVectorDistanceFunction<NumberVector>distance in interface PrimitiveDistanceFunction<NumberVector>distance in class AbstractPrimitiveDistanceFunction<NumberVector>v1 - first feature vectorv2 - second feature vectorpublic double minDist(SpatialComparable mbr1, SpatialComparable mbr2)
SpatialPrimitiveDistanceFunctionmbr1 - the first MBR objectmbr2 - the second MBR objectpublic SimpleTypeInformation<? super NumberVector> getInputTypeRestriction()
DistanceFunctiongetInputTypeRestriction in interface DistanceFunction<NumberVector>getInputTypeRestriction in interface PrimitiveDistanceFunction<NumberVector>getInputTypeRestriction in class AbstractNumberVectorDistanceFunctionCopyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.