Uses of Class
org.openimaj.feature.ShortFVComparison

Packages that use ShortFVComparison

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

Uses of ShortFVComparison in org.openimaj.feature

Methods in org.openimaj.feature that return ShortFVComparison

Modifier and Type	Method and Description
static ShortFVComparison	ShortFVComparison.valueOf(String name) Returns the enum constant of this type with the specified name.
static ShortFVComparison[]	ShortFVComparison.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 ShortFVComparison

Modifier and Type	Method and Description
double	MultidimensionalShortFV.compare(MultidimensionalShortFV h, ShortFVComparison method) Compare this FV to another with the given method.
double	ShortFV.compare(ShortFV h, ShortFVComparison method) Compare this FV to another with the given method.

Uses of ShortFVComparison in org.openimaj.lsh.functions

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

Modifier and Type	Method and Description
protected ShortFVComparison	ShortGaussianFactory.fvDistanceFunction()
protected ShortFVComparison	ShortHyperplaneCosineFactory.fvDistanceFunction()
protected ShortFVComparison	ShortHyperplaneL1Factory.fvDistanceFunction()
ShortFVComparison	ShortHammingFactory.fvDistanceFunction()
protected abstract ShortFVComparison	ShortHashFunctionFactory.fvDistanceFunction()
protected ShortFVComparison	ShortCauchyFactory.fvDistanceFunction()

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

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

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