Uses of Interface
org.openimaj.ml.clustering.assignment.HardAssigner

Packages that use HardAssigner

Package	Description
org.openimaj.image.feature.local.aggregate	Implementations of techniques that aggregate the local descriptors of an image into a single (typically fixed length) vector representation.
org.openimaj.ml.clustering
org.openimaj.ml.clustering.assignment.hard
org.openimaj.ml.clustering.assignment.soft
org.openimaj.ml.clustering.dbscan
org.openimaj.ml.clustering.kdtree
org.openimaj.ml.clustering.kmeans	K-Means in OpenIMAJ is designed to be both extremely fast and flexible.
org.openimaj.ml.clustering.rac
org.openimaj.ml.clustering.rforest

Uses of HardAssigner in org.openimaj.image.feature.local.aggregate

Methods in org.openimaj.image.feature.local.aggregate with parameters of type HardAssigner

Modifier and Type	Method and Description
static <L extends Location,T> List<QuantisedLocalFeature<L>>	BagOfVisualWords.computeQuantisedFeatures(HardAssigner<T,?,?> assigner, List<? extends LocalFeature<L,? extends ArrayFeatureVector<T>>> features) Utility method to construct a list of quantised local features (local features with visual word assignments) from a list of features and a HardAssigner.

Constructors in org.openimaj.image.feature.local.aggregate with parameters of type HardAssigner

Constructor and Description
BagOfVisualWords(HardAssigner<T,?,?> assigner) Construct with the given assigner.
VLAD(HardAssigner<T,?,?> assigner, CentroidsProvider<T> centroids, boolean normalise) Construct with the given assigner and the centroids associated with the assigner.
VLAD(HardAssigner<T,?,?> assigner, T[] centroids, boolean normalise) Construct with the given assigner and the centroids associated with the assigner.

Uses of HardAssigner in org.openimaj.ml.clustering

Methods in org.openimaj.ml.clustering that return HardAssigner

Modifier and Type	Method and Description
HardAssigner<double[],double[],IntDoublePair>	DoubleCentroidsResult.defaultHardAssigner()
HardAssigner<T,float[],IntFloatPair>	FeatureVectorCentroidsResult.defaultHardAssigner()
HardAssigner<short[],float[],IntFloatPair>	ShortCentroidsResult.defaultHardAssigner()
HardAssigner<long[],double[],IntDoublePair>	LongCentroidsResult.defaultHardAssigner()
HardAssigner<float[],float[],IntFloatPair>	FloatCentroidsResult.defaultHardAssigner()
HardAssigner<int[],float[],IntFloatPair>	IntCentroidsResult.defaultHardAssigner()
HardAssigner<byte[],float[],IntFloatPair>	ByteCentroidsResult.defaultHardAssigner()
HardAssigner<DATATYPE,?,?>	SpatialClusters.defaultHardAssigner() Get the default hard assigner for this clusterer.

Uses of HardAssigner in org.openimaj.ml.clustering.assignment.hard

Classes in org.openimaj.ml.clustering.assignment.hard that implement HardAssigner

Modifier and Type	Class and Description
class	ConstrainedFloatAssigner<DATATYPE> An assigner that wraps another hard assigner and only produces valid assignments if the closest cluster is within (or outside) of a given threshold distance.
class	ExactByteAssigner A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
class	ExactDoubleAssigner A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
class	ExactFeatureVectorAssigner<T extends FeatureVector> A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
class	ExactFloatAssigner A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
class	ExactIntAssigner A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
class	ExactLongAssigner A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
class	ExactShortAssigner A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
class	HierarchicalByteHardAssigner The HierarchicalByteHardAssigner is a HardAssigner for HierarchicalByteKMeansResult instances.
class	HierarchicalDoubleHardAssigner The HierarchicalDoubleHardAssigner is a HardAssigner for HierarchicalDoubleKMeansResult instances.
class	HierarchicalFloatHardAssigner The HierarchicalFloatHardAssigner is a HardAssigner for HierarchicalFloatKMeansResult instances.
class	HierarchicalIntHardAssigner The HierarchicalIntHardAssigner is a HardAssigner for HierarchicalIntKMeansResult instances.
class	HierarchicalLongHardAssigner The HierarchicalLongHardAssigner is a HardAssigner for HierarchicalLongKMeansResult instances.
class	HierarchicalShortHardAssigner The HierarchicalShortHardAssigner is a HardAssigner for HierarchicalShortKMeansResult instances.
class	KDTreeByteEuclideanAssigner A HardAssigner that uses a ByteNearestNeighboursKDTree to generate approximately correct cluster assignments.
class	KDTreeDoubleEuclideanAssigner A HardAssigner that uses a DoubleNearestNeighboursKDTree to generate approximately correct cluster assignments.
class	KDTreeFloatEuclideanAssigner A HardAssigner that uses a FloatNearestNeighboursKDTree to generate approximately correct cluster assignments.
class	KDTreeIntEuclideanAssigner A HardAssigner that uses a IntNearestNeighboursKDTree to generate approximately correct cluster assignments.
class	KDTreeLongEuclideanAssigner A HardAssigner that uses a LongNearestNeighboursKDTree to generate approximately correct cluster assignments.
class	KDTreeShortEuclideanAssigner A HardAssigner that uses a ShortNearestNeighboursKDTree to generate approximately correct cluster assignments.

Constructors in org.openimaj.ml.clustering.assignment.hard with parameters of type HardAssigner

Constructor and Description
ConstrainedFloatAssigner(HardAssigner<DATATYPE,float[],IntFloatPair> internalAssigner, float threshold) Construct the ConstrainedFloatAssigner with the given assigner and threshold.
ConstrainedFloatAssigner(HardAssigner<DATATYPE,float[],IntFloatPair> internalAssigner, float threshold, boolean greater) Construct the ConstrainedFloatAssigner with the given assigner and threshold.

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

Fields in org.openimaj.ml.clustering.assignment.soft with type parameters of type HardAssigner

Modifier and Type	Field and Description
protected Map<CentroidsProvider<int[]>,HardAssigner<int[],float[],IntFloatPair>>	HierarchicalIntPathAssigner.assigners
protected Map<CentroidsProvider<float[]>,HardAssigner<float[],float[],IntFloatPair>>	HierarchicalFloatPathAssigner.assigners
protected Map<CentroidsProvider<byte[]>,HardAssigner<byte[],float[],IntFloatPair>>	HierarchicalBytePathAssigner.assigners
protected Map<CentroidsProvider<long[]>,HardAssigner<long[],double[],IntDoublePair>>	HierarchicalLongPathAssigner.assigners
protected Map<CentroidsProvider<double[]>,HardAssigner<double[],double[],IntDoublePair>>	HierarchicalDoublePathAssigner.assigners
protected Map<CentroidsProvider<short[]>,HardAssigner<short[],float[],IntFloatPair>>	HierarchicalShortPathAssigner.assigners

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

Methods in org.openimaj.ml.clustering.dbscan that return HardAssigner

Modifier and Type	Method and Description
HardAssigner<double[],?,?>	DoubleDBSCANClusters.defaultHardAssigner()

Uses of HardAssigner in org.openimaj.ml.clustering.kdtree

Methods in org.openimaj.ml.clustering.kdtree that return HardAssigner

Modifier and Type	Method and Description
HardAssigner<double[],?,?>	KDTreeClusters.defaultHardAssigner()

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

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

Modifier and Type	Method and Description
HardAssigner<float[],float[],IntFloatPair>	FloatKMeans.Result.defaultHardAssigner()
HardAssigner<short[],float[],IntFloatPair>	ShortKMeans.Result.defaultHardAssigner()
HardAssigner<int[],float[],IntFloatPair>	IntKMeans.Result.defaultHardAssigner()
HardAssigner<byte[],float[],IntFloatPair>	ByteKMeans.Result.defaultHardAssigner()
HardAssigner<double[],double[],IntDoublePair>	SphericalKMeansResult.defaultHardAssigner()
HardAssigner<long[],double[],IntDoublePair>	LongKMeans.Result.defaultHardAssigner()
HardAssigner<T,float[],IntFloatPair>	FeatureVectorKMeans.Result.defaultHardAssigner()
HardAssigner<double[],double[],IntDoublePair>	DoubleKMeans.Result.defaultHardAssigner()

Uses of HardAssigner in org.openimaj.ml.clustering.rac

Classes in org.openimaj.ml.clustering.rac that implement HardAssigner

Modifier and Type	Class and Description
class	ClusterLimitedIntRAC Similar to IntRAC but explicitly specify the limit the number of clusters.
class	IntRAC An implementation of the RAC algorithm proposed by Ramanan and Niranjan.

Methods in org.openimaj.ml.clustering.rac that return HardAssigner

Modifier and Type	Method and Description
HardAssigner<int[],?,?>	IntRAC.defaultHardAssigner()

Uses of HardAssigner in org.openimaj.ml.clustering.rforest

Classes in org.openimaj.ml.clustering.rforest that implement HardAssigner

Modifier and Type	Class and Description
class	IntRandomForest An implementation of the RandomForest clustering algorithm proposed by Jurie et al.

Methods in org.openimaj.ml.clustering.rforest that return HardAssigner

Modifier and Type	Method and Description
HardAssigner<int[],?,?>	IntRandomForest.defaultHardAssigner()