Uses of Class
org.openimaj.knn.ObjectNearestNeighbours

Packages that use ObjectNearestNeighbours

Package	Description
org.openimaj.knn
org.openimaj.ml.annotation.basic
org.openimaj.ml.clustering.kmeans	K-Means in OpenIMAJ is designed to be both extremely fast and flexible.

Uses of ObjectNearestNeighbours in org.openimaj.knn

Subclasses of ObjectNearestNeighbours in org.openimaj.knn

Modifier and Type	Class and Description
class	ObjectNearestNeighboursExact<T> Exact (brute-force) k-nearest-neighbour implementation for objects with a compatible DistanceComparator.

Methods in org.openimaj.knn that return ObjectNearestNeighbours

Modifier and Type	Method and Description
ObjectNearestNeighbours<T>	ObjectNearestNeighboursProvider.getNearestNeighbours()

Uses of ObjectNearestNeighbours in org.openimaj.ml.annotation.basic

Fields in org.openimaj.ml.annotation.basic declared as ObjectNearestNeighbours

Modifier and Type	Field and Description
protected ObjectNearestNeighbours<FEATURE>	KNNAnnotator.nn

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

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

Modifier and Type	Field and Description
protected ObjectNearestNeighbours<T>	FeatureVectorKMeans.Result.nn

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

Modifier and Type	Method and Description
ObjectNearestNeighbours<T>	FeatureVectorKMeans.Result.getNearestNeighbours()

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

Modifier and Type	Method and Description
KMeansConfiguration<ObjectNearestNeighbours<T>,T>	FeatureVectorKMeans.getConfiguration() Get the configuration

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

Modifier and Type	Method and Description
void	FeatureVectorKMeans.setConfiguration(KMeansConfiguration<ObjectNearestNeighbours<T>,T> conf) Set the configuration

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

Constructor and Description
FeatureVectorKMeans(KMeansConfiguration<ObjectNearestNeighbours<T>,T> conf) Construct the clusterer with the the given configuration.