Uses of Class
org.openimaj.knn.DoubleNearestNeighbours

Packages that use DoubleNearestNeighbours

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

Uses of DoubleNearestNeighbours in org.openimaj.knn

Subclasses of DoubleNearestNeighbours in org.openimaj.knn

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

Methods in org.openimaj.knn that return DoubleNearestNeighbours

Modifier and Type	Method and Description
DoubleNearestNeighbours	DoubleNearestNeighboursProvider.getNearestNeighbours()

Uses of DoubleNearestNeighbours in org.openimaj.knn.approximate

Subclasses of DoubleNearestNeighbours in org.openimaj.knn.approximate

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

Uses of DoubleNearestNeighbours in org.openimaj.knn.pq

Subclasses of DoubleNearestNeighbours in org.openimaj.knn.pq

Modifier and Type	Class and Description
class	DoubleADCNearestNeighbours Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.
class	DoubleSDCNearestNeighbours Nearest-neighbours using Symmetric Distance Computation (SDC) on Product Quantised vectors.
class	IncrementalDoubleADCNearestNeighbours Incremental Nearest-neighbours using Asymmetric Distance Computation (ADC) on Product Quantised vectors.

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

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

Modifier and Type	Field and Description
protected DoubleNearestNeighbours	DoubleKNNAssigner.nn

Uses of DoubleNearestNeighbours in org.openimaj.ml.clustering.dbscan

Constructor parameters in org.openimaj.ml.clustering.dbscan with type arguments of type DoubleNearestNeighbours

Constructor and Description
DoubleNNDBSCAN(double eps, int minPts, NearestNeighboursFactory<? extends DoubleNearestNeighbours,double[]> nnf) Perform a DBScane with this configuration

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

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

Modifier and Type	Field and Description
protected DoubleNearestNeighbours	DoubleKMeans.Result.nn

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

Modifier and Type	Method and Description
DoubleNearestNeighbours	DoubleKMeans.Result.getNearestNeighbours()

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

Modifier and Type	Method and Description
KMeansConfiguration<DoubleNearestNeighbours,double[]>	DoubleKMeans.getConfiguration() Get the configuration

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

Modifier and Type	Method and Description
void	DoubleKMeans.setConfiguration(KMeansConfiguration<DoubleNearestNeighbours,double[]> conf) Set the configuration

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

Constructor and Description
DoubleKMeans(KMeansConfiguration<DoubleNearestNeighbours,double[]> conf) Construct the clusterer with the the given configuration.
HierarchicalDoubleKMeans(KMeansConfiguration<DoubleNearestNeighbours,double[]> config, int M, int K, int depth) Construct a new HierarchicalDoubleKMeans with the given parameters.