Uses of Interface
org.openimaj.knn.NearestNeighbours

Packages that use NearestNeighbours

Package	Description
org.openimaj.knn
org.openimaj.knn.approximate
org.openimaj.knn.lsh
org.openimaj.knn.pq
org.openimaj.ml.clustering.kmeans	K-Means in OpenIMAJ is designed to be both extremely fast and flexible.

Uses of NearestNeighbours in org.openimaj.knn

Classes in org.openimaj.knn with type parameters of type NearestNeighbours

Modifier and Type	Interface and Description
interface	NearestNeighboursFactory<T extends NearestNeighbours<DATA,?,?>,DATA> Interface for factory objects that can produce NearestNeighbours objects for some given data.

Subinterfaces of NearestNeighbours in org.openimaj.knn

Modifier and Type	Interface and Description
interface	IncrementalNearestNeighbours<DATA,DISTANCES,PAIR_TYPE> Extension to K-nearest-neighbour that allows database points to be added dynamically.

Classes in org.openimaj.knn that implement NearestNeighbours

Modifier and Type	Class and Description
class	ByteNearestNeighbours Abstract base class for k-nearest-neighbour calculations with byte[] data.
class	ByteNearestNeighboursExact Exact (brute-force) k-nearest-neighbour implementation.
class	DoubleNearestNeighbours Abstract base class for k-nearest-neighbour calculations with double[] data.
class	DoubleNearestNeighboursExact Exact (brute-force) k-nearest-neighbour implementation.
class	FloatNearestNeighbours Abstract base class for k-nearest-neighbour calculations with float[] data.
class	FloatNearestNeighboursExact Exact (brute-force) k-nearest-neighbour implementation.
class	IntNearestNeighbours Abstract base class for k-nearest-neighbour calculations with int[] data.
class	IntNearestNeighboursExact Exact (brute-force) k-nearest-neighbour implementation.
class	LongNearestNeighbours Abstract base class for k-nearest-neighbour calculations with long[] data.
class	LongNearestNeighboursExact Exact (brute-force) k-nearest-neighbour implementation.
class	ObjectNearestNeighbours<T> Abstract base class for k-nearest-neighbour calculations with any form of object that can be compared with a DistanceComparator.
class	ObjectNearestNeighboursExact<T> Exact (brute-force) k-nearest-neighbour implementation for objects with a compatible DistanceComparator.
class	ShortNearestNeighbours Abstract base class for k-nearest-neighbour calculations with short[] data.
class	ShortNearestNeighboursExact Exact (brute-force) k-nearest-neighbour implementation.

Uses of NearestNeighbours in org.openimaj.knn.approximate

Classes in org.openimaj.knn.approximate that implement NearestNeighbours

Modifier and Type	Class and Description
class	ByteNearestNeighboursKDTree Fast Nearest-Neighbours for byte data using an ensemble of Best-Bin-First KDTrees.
class	DoubleNearestNeighboursKDTree Fast Nearest-Neighbours for double data using an ensemble of Best-Bin-First KDTrees.
class	FloatNearestNeighboursKDTree Fast Nearest-Neighbours for float data using an ensemble of Best-Bin-First KDTrees.
class	IntNearestNeighboursKDTree Fast Nearest-Neighbours for int data using an ensemble of Best-Bin-First KDTrees.
class	LongNearestNeighboursKDTree Fast Nearest-Neighbours for long data using an ensemble of Best-Bin-First KDTrees.
class	ShortNearestNeighboursKDTree Fast Nearest-Neighbours for short data using an ensemble of Best-Bin-First KDTrees.

Uses of NearestNeighbours in org.openimaj.knn.lsh

Classes in org.openimaj.knn.lsh that implement NearestNeighbours

Modifier and Type	Class and Description
class	LSHNearestNeighbours<OBJECT> Nearest-neighbours based on Locality Sensitive Hashing (LSH).

Uses of NearestNeighbours in org.openimaj.knn.pq

Classes in org.openimaj.knn.pq that implement NearestNeighbours

Modifier and Type	Class and Description
class	ByteADCNearestNeighbours Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
class	ByteSDCNearestNeighbours Nearest-neighbours using Symmetric Distance Computation (SDC) on Product Quantised vectors.
class	DoubleADCNearestNeighbours Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
class	DoubleSDCNearestNeighbours Nearest-neighbours using Symmetric Distance Computation (SDC) on Product Quantised vectors.
class	FloatADCNearestNeighbours Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
class	FloatSDCNearestNeighbours Nearest-neighbours using Symmetric Distance Computation (SDC) on Product Quantised vectors.
class	IncrementalByteADCNearestNeighbours Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
class	IncrementalDoubleADCNearestNeighbours Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
class	IncrementalFloatADCNearestNeighbours Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
class	IncrementalIntADCNearestNeighbours Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
class	IncrementalLongADCNearestNeighbours Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
class	IncrementalShortADCNearestNeighbours Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
class	IntADCNearestNeighbours Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
class	IntSDCNearestNeighbours Nearest-neighbours using Symmetric Distance Computation (SDC) on Product Quantised vectors.
class	LongADCNearestNeighbours Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
class	LongSDCNearestNeighbours Nearest-neighbours using Symmetric Distance Computation (SDC) on Product Quantised vectors.
class	ShortADCNearestNeighbours Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
class	ShortSDCNearestNeighbours Nearest-neighbours using Symmetric Distance Computation (SDC) on Product Quantised vectors.

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

Classes in org.openimaj.ml.clustering.kmeans with type parameters of type NearestNeighbours

Modifier and Type	Class and Description
class	KMeansConfiguration<NN extends NearestNeighbours<DATA,?,?>,DATA> Configuration for the K-Means algorithm.