Uses of Class
org.openimaj.knn.FloatNearestNeighbours

Packages that use FloatNearestNeighbours

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 FloatNearestNeighbours in org.openimaj.knn

Subclasses of FloatNearestNeighbours in org.openimaj.knn

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

Methods in org.openimaj.knn that return FloatNearestNeighbours

Modifier and Type	Method and Description
FloatNearestNeighbours	FloatNearestNeighboursProvider.getNearestNeighbours()

Uses of FloatNearestNeighbours in org.openimaj.knn.approximate

Subclasses of FloatNearestNeighbours in org.openimaj.knn.approximate

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

Uses of FloatNearestNeighbours in org.openimaj.knn.pq

Subclasses of FloatNearestNeighbours in org.openimaj.knn.pq

Modifier and Type	Class and Description
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	IncrementalFloatADCNearestNeighbours Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.

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

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

Modifier and Type	Field and Description
protected FloatNearestNeighbours	FloatKNNAssigner.nn

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

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

Modifier and Type	Field and Description
protected FloatNearestNeighbours	FloatKMeans.Result.nn

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

Modifier and Type	Method and Description
FloatNearestNeighbours	FloatKMeans.Result.getNearestNeighbours()

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

Modifier and Type	Method and Description
KMeansConfiguration<FloatNearestNeighbours,float[]>	FloatKMeans.getConfiguration() Get the configuration

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

Modifier and Type	Method and Description
void	FloatKMeans.setConfiguration(KMeansConfiguration<FloatNearestNeighbours,float[]> conf) Set the configuration

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

Constructor and Description
FloatKMeans(KMeansConfiguration<FloatNearestNeighbours,float[]> conf) Construct the clusterer with the the given configuration.
HierarchicalFloatKMeans(KMeansConfiguration<FloatNearestNeighbours,float[]> config, int M, int K, int depth) Construct a new HierarchicalFloatKMeans with the given parameters.