Uses of Class
org.openimaj.knn.IntNearestNeighbours

Packages that use IntNearestNeighbours

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 IntNearestNeighbours in org.openimaj.knn

Subclasses of IntNearestNeighbours in org.openimaj.knn

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

Methods in org.openimaj.knn that return IntNearestNeighbours

Modifier and Type	Method and Description
IntNearestNeighbours	IntNearestNeighboursProvider.getNearestNeighbours()

Uses of IntNearestNeighbours in org.openimaj.knn.approximate

Subclasses of IntNearestNeighbours in org.openimaj.knn.approximate

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

Uses of IntNearestNeighbours in org.openimaj.knn.pq

Subclasses of IntNearestNeighbours in org.openimaj.knn.pq

Modifier and Type	Class and Description
class	IncrementalIntADCNearestNeighbours 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.

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

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

Modifier and Type	Field and Description
protected IntNearestNeighbours	IntKNNAssigner.nn

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

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

Modifier and Type	Field and Description
protected IntNearestNeighbours	IntKMeans.Result.nn

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

Modifier and Type	Method and Description
IntNearestNeighbours	IntKMeans.Result.getNearestNeighbours()

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

Modifier and Type	Method and Description
KMeansConfiguration<IntNearestNeighbours,int[]>	IntKMeans.getConfiguration() Get the configuration

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

Modifier and Type	Method and Description
void	IntKMeans.setConfiguration(KMeansConfiguration<IntNearestNeighbours,int[]> conf) Set the configuration

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

Constructor and Description
HierarchicalIntKMeans(KMeansConfiguration<IntNearestNeighbours,int[]> config, int M, int K, int depth) Construct a new HierarchicalIntKMeans with the given parameters.
IntKMeans(KMeansConfiguration<IntNearestNeighbours,int[]> conf) Construct the clusterer with the the given configuration.