Uses of Class
org.openimaj.knn.ByteNearestNeighbours

Packages that use ByteNearestNeighbours

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 ByteNearestNeighbours in org.openimaj.knn

Subclasses of ByteNearestNeighbours in org.openimaj.knn

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

Methods in org.openimaj.knn that return ByteNearestNeighbours

Modifier and Type	Method and Description
ByteNearestNeighbours	ByteNearestNeighboursProvider.getNearestNeighbours()

Uses of ByteNearestNeighbours in org.openimaj.knn.approximate

Subclasses of ByteNearestNeighbours in org.openimaj.knn.approximate

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

Uses of ByteNearestNeighbours in org.openimaj.knn.pq

Subclasses of ByteNearestNeighbours in org.openimaj.knn.pq

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	IncrementalByteADCNearestNeighbours Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.

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

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

Modifier and Type	Field and Description
protected ByteNearestNeighbours	ByteKNNAssigner.nn

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

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

Modifier and Type	Field and Description
protected ByteNearestNeighbours	ByteKMeans.Result.nn

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

Modifier and Type	Method and Description
ByteNearestNeighbours	ByteKMeans.Result.getNearestNeighbours()

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

Modifier and Type	Method and Description
KMeansConfiguration<ByteNearestNeighbours,byte[]>	ByteKMeans.getConfiguration() Get the configuration

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

Modifier and Type	Method and Description
void	ByteKMeans.setConfiguration(KMeansConfiguration<ByteNearestNeighbours,byte[]> conf) Set the configuration

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

Constructor and Description
ByteKMeans(KMeansConfiguration<ByteNearestNeighbours,byte[]> conf) Construct the clusterer with the the given configuration.
HierarchicalByteKMeans(KMeansConfiguration<ByteNearestNeighbours,byte[]> config, int M, int K, int depth) Construct a new HierarchicalByteKMeans with the given parameters.