Uses of Interface
org.openimaj.util.comparator.DistanceComparator

Packages that use DistanceComparator

Package	Description
org.openimaj.feature
org.openimaj.image.processing.face.feature.comparison
org.openimaj.knn
org.openimaj.knn.lsh
org.openimaj.lsh.functions
org.openimaj.math.model.fit.residuals
org.openimaj.math.statistics.distribution.metrics
org.openimaj.ml.annotation.basic
org.openimaj.ml.clustering.assignment.hard
org.openimaj.ml.clustering.kmeans	K-Means in OpenIMAJ is designed to be both extremely fast and flexible.

Uses of DistanceComparator in org.openimaj.feature

Subinterfaces of DistanceComparator in org.openimaj.feature

Modifier and Type	Interface and Description
interface	ByteFVComparator Comparison/distance methods for ByteFV objects.
interface	DoubleFVComparator Comparison/distance methods for DoubleFV objects.
interface	FloatFVComparator Comparison/distance methods for FloatFV objects.
interface	FVComparator<T extends FeatureVector> Interface for objects that can compare feature vectors
interface	IntFVComparator Comparison/distance methods for IntFV objects.
interface	LongFVComparator Comparison/distance methods for LongFV objects.
interface	ShortFVComparator Comparison/distance methods for ShortFV objects.

Classes in org.openimaj.feature that implement DistanceComparator

Modifier and Type	Class and Description
class	ByteFVComparison Comparison/distance methods for ByteFV objects.
class	DoubleFVComparison Comparison/distance methods for DoubleFV objects.
class	FloatFVComparison Comparison/distance methods for FloatFV objects.
class	IntFVComparison Comparison/distance methods for IntFV objects.
class	LongFVComparison Comparison/distance methods for LongFV objects.
class	ShortFVComparison Comparison/distance methods for ShortFV objects.
class	SparseByteFVComparison Comparison/distance methods for DoubleFV objects.
class	SparseDoubleFVComparison Comparison/distance methods for DoubleFV objects.
class	SparseFloatFVComparison Comparison/distance methods for DoubleFV objects.
class	SparseIntFVComparison Comparison/distance methods for DoubleFV objects.
class	SparseLongFVComparison Comparison/distance methods for DoubleFV objects.
class	SparseShortFVComparison Comparison/distance methods for DoubleFV objects.

Uses of DistanceComparator in org.openimaj.image.processing.face.feature.comparison

Subinterfaces of DistanceComparator in org.openimaj.image.processing.face.feature.comparison

Modifier and Type	Interface and Description
interface	FacialFeatureComparator<T extends FacialFeature> Interface for classes capable of comparing two FacialFeatures and producing a score.

Classes in org.openimaj.image.processing.face.feature.comparison that implement DistanceComparator

Modifier and Type	Class and Description
class	DoGSIFTFeatureComparator A FacialFeatureComparator for comparing DoGSIFTFeatures.
class	FaceFVComparator<T extends FacialFeature & FeatureVectorProvider<Q>,Q extends FeatureVector> A generic FacialFeatureComparator for FacialFeatures that can provide FeatureVectors through the FeatureVectorProvider interface.
class	LtpDtFeatureComparator A comparator for Local Trinary Pattern Features using a Euclidean distance transform.
class	ReversedLtpDtFeatureComparator A comparator for Local Trinary Pattern Features using a Euclidean distance transform.

Uses of DistanceComparator in org.openimaj.knn

Fields in org.openimaj.knn declared as DistanceComparator

Modifier and Type	Field and Description
protected DistanceComparator<? super T>	ObjectNearestNeighbours.distance

Methods in org.openimaj.knn that return DistanceComparator

Modifier and Type	Method and Description
DistanceComparator<? super T>	ObjectNearestNeighbours.distanceComparator() Get the distance comparator

Methods in org.openimaj.knn with parameters of type DistanceComparator

Modifier and Type	Method and Description
static <T> float	ObjectNearestNeighbours.distanceFunc(DistanceComparator<? super T> distance, T qu, T pnt) Static method to find a distance between a query vector and point.

Constructors in org.openimaj.knn with parameters of type DistanceComparator

Constructor and Description
Factory(DistanceComparator<? super T> distance) Construct the factory with the given distance function for the produced ObjectNearestNeighbours instances.
ObjectNearestNeighbours(DistanceComparator<? super T> distance) Construct with the given distance measure
ObjectNearestNeighboursExact(DistanceComparator<T> distance) Construct any empty ObjectNearestNeighboursExact with the given distance function.
ObjectNearestNeighboursExact(List<T> pnts, DistanceComparator<? super T> distance) Construct the ObjectNearestNeighboursExact over the provided dataset with the given distance function.
ObjectNearestNeighboursExact(T[] pnts, DistanceComparator<? super T> distance) Construct the ObjectNearestNeighboursExact over the provided dataset with the given distance function.

Uses of DistanceComparator in org.openimaj.knn.lsh

Fields in org.openimaj.knn.lsh declared as DistanceComparator

Modifier and Type	Field and Description
protected DistanceComparator<OBJECT>	LSHNearestNeighbours.distanceFcn

Constructors in org.openimaj.knn.lsh with parameters of type DistanceComparator

Constructor and Description
LSHNearestNeighbours(HashFunctionFactory<OBJECT> factory, int numTables, DistanceComparator<OBJECT> distanceFcn) Construct with the given hash function factory which will be used to initialize the requested number of hash tables.
LSHNearestNeighbours(List<HashFunction<OBJECT>> tableHashes, DistanceComparator<OBJECT> distanceFcn) Construct with the given hash functions and distance function.

Uses of DistanceComparator in org.openimaj.lsh.functions

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

Modifier and Type	Method and Description
abstract DistanceComparator<OBJECT>	RandomisedHashFunctionFactory.distanceFunction()
DistanceComparator<double[]>	DoubleHashFunctionFactory.distanceFunction()
DistanceComparator<byte[]>	ByteHashFunctionFactory.distanceFunction()
DistanceComparator<float[]>	FloatHashFunctionFactory.distanceFunction()
DistanceComparator<long[]>	LongHashFunctionFactory.distanceFunction()
DistanceComparator<short[]>	ShortHashFunctionFactory.distanceFunction()
DistanceComparator<int[]>	IntHashFunctionFactory.distanceFunction()

Uses of DistanceComparator in org.openimaj.math.model.fit.residuals

Fields in org.openimaj.math.model.fit.residuals declared as DistanceComparator

Modifier and Type	Field and Description
protected DistanceComparator<D>	DistanceComparatorResidual.comparator

Constructors in org.openimaj.math.model.fit.residuals with parameters of type DistanceComparator

Constructor and Description
DistanceComparatorResidual(DistanceComparator<D> comparator) Construct with the given DistanceComparator.

Uses of DistanceComparator in org.openimaj.math.statistics.distribution.metrics

Classes in org.openimaj.math.statistics.distribution.metrics that implement DistanceComparator

Modifier and Type	Class and Description
class	GaussianKLDivergence Calculate the KL divergence of two multivariate gaussians.
class	SampledMultivariateDistanceComparator By sampling a distribution and calculating the log liklihood of those samples against another distribution, construct a distance metric.

Uses of DistanceComparator in org.openimaj.ml.annotation.basic

Fields in org.openimaj.ml.annotation.basic declared as DistanceComparator

Modifier and Type	Field and Description
protected DistanceComparator<? super FEATURE>	KNNAnnotator.comparator

Methods in org.openimaj.ml.annotation.basic with parameters of type DistanceComparator

Modifier and Type	Method and Description
static <OBJECT,ANNOTATION,EXTRACTOR extends FeatureExtractor<FEATURE,OBJECT>,FEATURE> KNNAnnotator<OBJECT,ANNOTATION,FEATURE>	KNNAnnotator.create(EXTRACTOR extractor, DistanceComparator<FEATURE> comparator) Create a new KNNAnnotator with the given extractor and comparator.
static <OBJECT,ANNOTATION,EXTRACTOR extends FeatureExtractor<FEATURE,OBJECT>,FEATURE> KNNAnnotator<OBJECT,ANNOTATION,FEATURE>	KNNAnnotator.create(EXTRACTOR extractor, DistanceComparator<FEATURE> comparator, float threshold) Create a new KNNAnnotator with the given extractor, comparator and threshold.
static <OBJECT,ANNOTATION,EXTRACTOR extends FeatureExtractor<FEATURE,OBJECT>,FEATURE> KNNAnnotator<OBJECT,ANNOTATION,FEATURE>	KNNAnnotator.create(EXTRACTOR extractor, DistanceComparator<FEATURE> comparator, int k) Create a new KNNAnnotator with the given extractor, comparator and number of neighbours.
static <OBJECT,ANNOTATION,EXTRACTOR extends FeatureExtractor<FEATURE,OBJECT>,FEATURE> KNNAnnotator<OBJECT,ANNOTATION,FEATURE>	KNNAnnotator.create(EXTRACTOR extractor, DistanceComparator<FEATURE> comparator, int k, float threshold) Create a new KNNAnnotator with the given extractor, comparator, number of neighbours and threshold.

Constructors in org.openimaj.ml.annotation.basic with parameters of type DistanceComparator

Constructor and Description
KNNAnnotator(FeatureExtractor<FEATURE,OBJECT> extractor, DistanceComparator<? super FEATURE> comparator) Construct with the given extractor and comparator.
KNNAnnotator(FeatureExtractor<FEATURE,OBJECT> extractor, DistanceComparator<? super FEATURE> comparator, float threshold) Construct with the given extractor, comparator and threshold.
KNNAnnotator(FeatureExtractor<FEATURE,OBJECT> extractor, DistanceComparator<? super FEATURE> comparator, int k) Construct with the given extractor, comparator and number of neighbours.
KNNAnnotator(FeatureExtractor<FEATURE,OBJECT> extractor, DistanceComparator<? super FEATURE> comparator, int k, float threshold) Construct with the given extractor, comparator, number of neighbours and threshold.

Uses of DistanceComparator in org.openimaj.ml.clustering.assignment.hard

Constructors in org.openimaj.ml.clustering.assignment.hard with parameters of type DistanceComparator

Constructor and Description
ExactFeatureVectorAssigner(CentroidsProvider<T> provider, DistanceComparator<? super T> comparison) Construct the assigner using the given cluster data and distance function.
ExactFeatureVectorAssigner(List<T> data, DistanceComparator<? super T> comparison) Construct the assigner using the given cluster data and distance function.
ExactFeatureVectorAssigner(T[] data, DistanceComparator<? super T> comparison) Construct the assigner using the given cluster data and distance function.

Uses of DistanceComparator in org.openimaj.ml.clustering.kmeans

Methods in org.openimaj.ml.clustering.kmeans with parameters of type DistanceComparator

Modifier and Type	Method and Description
static <T extends FeatureVector> FeatureVectorKMeans<T>	FeatureVectorKMeans.createExact(int K, DistanceComparator<? super T> distance) Convenience method to quickly create an exact ByteKMeans.
static <T extends FeatureVector> FeatureVectorKMeans<T>	FeatureVectorKMeans.createExact(int K, DistanceComparator<? super T> distance, int niters) Convenience method to quickly create an exact ByteKMeans.