Uses of Class
org.openimaj.knn.LongNearestNeighbours

Packages that use LongNearestNeighbours

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 LongNearestNeighbours in org.openimaj.knn

Subclasses of LongNearestNeighbours in org.openimaj.knn

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

Methods in org.openimaj.knn that return LongNearestNeighbours

Modifier and Type	Method and Description
LongNearestNeighbours	LongNearestNeighboursProvider.getNearestNeighbours()

Uses of LongNearestNeighbours in org.openimaj.knn.approximate

Subclasses of LongNearestNeighbours in org.openimaj.knn.approximate

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

Uses of LongNearestNeighbours in org.openimaj.knn.pq

Subclasses of LongNearestNeighbours in org.openimaj.knn.pq

Modifier and Type	Class and Description
class	IncrementalLongADCNearestNeighbours Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) 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.

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

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

Modifier and Type	Field and Description
protected LongNearestNeighbours	LongKNNAssigner.nn

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

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

Modifier and Type	Field and Description
protected LongNearestNeighbours	LongKMeans.Result.nn

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

Modifier and Type	Method and Description
LongNearestNeighbours	LongKMeans.Result.getNearestNeighbours()

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

Modifier and Type	Method and Description
KMeansConfiguration<LongNearestNeighbours,long[]>	LongKMeans.getConfiguration() Get the configuration

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

Modifier and Type	Method and Description
void	LongKMeans.setConfiguration(KMeansConfiguration<LongNearestNeighbours,long[]> conf) Set the configuration

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

Constructor and Description
HierarchicalLongKMeans(KMeansConfiguration<LongNearestNeighbours,long[]> config, int M, int K, int depth) Construct a new HierarchicalLongKMeans with the given parameters.
LongKMeans(KMeansConfiguration<LongNearestNeighbours,long[]> conf) Construct the clusterer with the the given configuration.