public class SquaredUncenteredCorrelationDistanceFunction extends AbstractNumberVectorDistanceFunction
SquaredPearsonCorrelationDistanceFunction
,
but uses a fixed mean of 0 instead of the sample mean.Modifier and Type | Class and Description |
---|---|
static class |
SquaredUncenteredCorrelationDistanceFunction.Parameterizer
Parameterization class.
|
Modifier and Type | Field and Description |
---|---|
static SquaredUncenteredCorrelationDistanceFunction |
STATIC
Static instance.
|
Constructor and Description |
---|
SquaredUncenteredCorrelationDistanceFunction()
Deprecated.
Use static instance!
|
Modifier and Type | Method and Description |
---|---|
double |
distance(NumberVector v1,
NumberVector v2)
Computes the distance between two given DatabaseObjects according to this
distance function.
|
boolean |
equals(Object obj) |
String |
toString() |
dimensionality, dimensionality, dimensionality, dimensionality, getInputTypeRestriction
instantiate, isMetric, isSymmetric
clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
instantiate, isMetric, isSymmetric
public static final SquaredUncenteredCorrelationDistanceFunction STATIC
@Deprecated public SquaredUncenteredCorrelationDistanceFunction()
STATIC
instead.public double distance(NumberVector v1, NumberVector v2)
PrimitiveDistanceFunction
distance
in interface NumberVectorDistanceFunction<NumberVector>
distance
in interface PrimitiveDistanceFunction<NumberVector>
distance
in class AbstractPrimitiveDistanceFunction<NumberVector>
v1
- first DatabaseObjectv2
- second DatabaseObjectCopyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.