Package | Description |
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org.openimaj.feature | |
org.openimaj.image.model.patch | |
org.openimaj.lsh.functions | |
org.openimaj.ml.clustering.assignment.soft |
Modifier and Type | Method and Description |
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static DoubleFVComparison |
DoubleFVComparison.valueOf(String name)
Returns the enum constant of this type with the specified name.
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static DoubleFVComparison[] |
DoubleFVComparison.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
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Modifier and Type | Method and Description |
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double |
DoubleFV.compare(DoubleFV h,
DoubleFVComparison method)
Compare this FV to another with the given method.
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double |
MultidimensionalDoubleFV.compare(MultidimensionalDoubleFV h,
DoubleFVComparison method)
Compare this FV to another with the given method.
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Modifier and Type | Field and Description |
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protected DoubleFVComparison |
HistogramPatchModel.compare |
Modifier and Type | Method and Description |
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DoubleFVComparison |
HistogramPatchModel.getComparisonMeasure() |
Modifier and Type | Method and Description |
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void |
HistogramPatchModel.setComparisonMeasure(DoubleFVComparison compare)
Set the comparison measure used.
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Constructor and Description |
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HistogramPatchModel(int patchWidth,
int patchHeight,
DoubleFVComparison compare,
int... nbins)
Construct with the given patch size, comparison measure and ]
number of histogram bins per dimension.
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Modifier and Type | Method and Description |
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protected DoubleFVComparison |
DoubleCauchyFactory.fvDistanceFunction() |
protected DoubleFVComparison |
DoubleHyperplaneCosineFactory.fvDistanceFunction() |
protected abstract DoubleFVComparison |
DoubleHashFunctionFactory.fvDistanceFunction() |
protected DoubleFVComparison |
DoubleHyperplaneL1Factory.fvDistanceFunction() |
DoubleFVComparison |
DoubleHammingFactory.fvDistanceFunction() |
protected DoubleFVComparison |
DoubleGaussianFactory.fvDistanceFunction() |
Constructor and Description |
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DoubleKNNAssigner(CentroidsProvider<double[]> provider,
DoubleFVComparison comparison,
int numNeighbours)
Construct the assigner using the given cluster data and
distance function.
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DoubleKNNAssigner(double[][] data,
DoubleFVComparison comparison,
int numNeighbours)
Construct the assigner using the given cluster data and
distance function.
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