Uses of Class
org.openimaj.knn.ShortNearestNeighbours

Packages that use ShortNearestNeighbours

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

Uses of ShortNearestNeighbours in org.openimaj.knn

Subclasses of ShortNearestNeighbours in org.openimaj.knn

Modifier and Type	Class and Description
class	ShortNearestNeighboursExact Exact (brute-force) k-nearest-neighbour implementation.

Methods in org.openimaj.knn that return ShortNearestNeighbours

Modifier and Type	Method and Description
ShortNearestNeighbours	ShortNearestNeighboursProvider.getNearestNeighbours()

Uses of ShortNearestNeighbours in org.openimaj.knn.approximate

Subclasses of ShortNearestNeighbours in org.openimaj.knn.approximate

Modifier and Type	Class and Description
class	ShortNearestNeighboursKDTree Fast Nearest-Neighbours for short data using an ensemble of Best-Bin-First KDTrees.

Uses of ShortNearestNeighbours in org.openimaj.knn.pq

Subclasses of ShortNearestNeighbours in org.openimaj.knn.pq

Modifier and Type	Class and Description
class	IncrementalShortADCNearestNeighbours Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) 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 ShortNearestNeighbours in org.openimaj.ml.clustering.assignment.soft

Fields in org.openimaj.ml.clustering.assignment.soft declared as ShortNearestNeighbours

Modifier and Type	Field and Description
protected ShortNearestNeighbours	ShortKNNAssigner.nn

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

Fields in org.openimaj.ml.clustering.kmeans declared as ShortNearestNeighbours

Modifier and Type	Field and Description
protected ShortNearestNeighbours	ShortKMeans.Result.nn

Methods in org.openimaj.ml.clustering.kmeans that return ShortNearestNeighbours

Modifier and Type	Method and Description
ShortNearestNeighbours	ShortKMeans.Result.getNearestNeighbours()

Methods in org.openimaj.ml.clustering.kmeans that return types with arguments of type ShortNearestNeighbours

Modifier and Type	Method and Description
KMeansConfiguration<ShortNearestNeighbours,short[]>	ShortKMeans.getConfiguration() Get the configuration

Method parameters in org.openimaj.ml.clustering.kmeans with type arguments of type ShortNearestNeighbours

Modifier and Type	Method and Description
void	ShortKMeans.setConfiguration(KMeansConfiguration<ShortNearestNeighbours,short[]> conf) Set the configuration

Constructor parameters in org.openimaj.ml.clustering.kmeans with type arguments of type ShortNearestNeighbours

Constructor and Description
HierarchicalShortKMeans(KMeansConfiguration<ShortNearestNeighbours,short[]> config, int M, int K, int depth) Construct a new HierarchicalShortKMeans with the given parameters.
ShortKMeans(KMeansConfiguration<ShortNearestNeighbours,short[]> conf) Construct the clusterer with the the given configuration.