Uses of Class
org.openimaj.feature.FloatFVComparison

Packages that use FloatFVComparison

Package	Description
org.openimaj.feature
org.openimaj.lsh.functions
org.openimaj.ml.clustering.assignment.soft

Uses of FloatFVComparison in org.openimaj.feature

Methods in org.openimaj.feature that return FloatFVComparison

Modifier and Type	Method and Description
static FloatFVComparison	FloatFVComparison.valueOf(String name) Returns the enum constant of this type with the specified name.
static FloatFVComparison[]	FloatFVComparison.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in org.openimaj.feature with parameters of type FloatFVComparison

Modifier and Type	Method and Description
double	FloatFV.compare(FloatFV h, FloatFVComparison method) Compare this FV to another with the given method.
double	MultidimensionalFloatFV.compare(MultidimensionalFloatFV h, FloatFVComparison method) Compare this FV to another with the given method.

Uses of FloatFVComparison in org.openimaj.lsh.functions

Methods in org.openimaj.lsh.functions that return FloatFVComparison

Modifier and Type	Method and Description
FloatFVComparison	FloatHammingFactory.fvDistanceFunction()
protected FloatFVComparison	FloatGaussianFactory.fvDistanceFunction()
protected FloatFVComparison	FloatHyperplaneCosineFactory.fvDistanceFunction()
protected FloatFVComparison	FloatCauchyFactory.fvDistanceFunction()
protected abstract FloatFVComparison	FloatHashFunctionFactory.fvDistanceFunction()
protected FloatFVComparison	FloatHyperplaneL1Factory.fvDistanceFunction()

Uses of FloatFVComparison in org.openimaj.ml.clustering.assignment.soft

Constructors in org.openimaj.ml.clustering.assignment.soft with parameters of type FloatFVComparison

Constructor and Description
FloatKNNAssigner(CentroidsProvider<float[]> provider, FloatFVComparison comparison, int numNeighbours) Construct the assigner using the given cluster data and distance function.
FloatKNNAssigner(float[][] data, FloatFVComparison comparison, int numNeighbours) Construct the assigner using the given cluster data and distance function.