Uses of Interface
org.openimaj.ml.clustering.SpatialClusters

Packages that use SpatialClusters

Package	Description
org.openimaj.hadoop.tools.clusterquantiser
org.openimaj.ml.clustering
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
org.openimaj.ml.clustering.spectral
org.openimaj.tools.clusterquantiser

Uses of SpatialClusters in org.openimaj.hadoop.tools.clusterquantiser

Methods in org.openimaj.hadoop.tools.clusterquantiser that return types with arguments of type SpatialClusters

Modifier and Type	Method and Description
Class<? extends SpatialClusters<?>>	HadoopClusterQuantiserOptions.getClusterClass()
Class<SpatialClusters<?>>	HadoopClusterQuantiserOptions.getOtherInfoClass()

Uses of SpatialClusters in org.openimaj.ml.clustering

Classes in org.openimaj.ml.clustering with type parameters of type SpatialClusters

Modifier and Type	Interface and Description
interface	SpatialClusterer<CLUSTERTYPE extends SpatialClusters<DATATYPE>,DATATYPE> A SpatialClusterer clusters data that can be represented as points in a space.

Classes in org.openimaj.ml.clustering that implement SpatialClusters

Modifier and Type	Class and Description
class	ByteCentroidsResult The result of a SpatialClusterer that just produces a flat set of centroids.
class	DoubleCentroidsResult The result of a SpatialClusterer that just produces a flat set of centroids.
class	FeatureVectorCentroidsResult<T extends FeatureVector> The result of a SpatialClusterer that just produces a flat set of centroids in the form of FeatureVectors.
class	FloatCentroidsResult The result of a SpatialClusterer that just produces a flat set of centroids.
class	IntCentroidsResult The result of a SpatialClusterer that just produces a flat set of centroids.
class	LongCentroidsResult The result of a SpatialClusterer that just produces a flat set of centroids.
class	ShortCentroidsResult The result of a SpatialClusterer that just produces a flat set of centroids.

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

Classes in org.openimaj.ml.clustering.dbscan that implement SpatialClusters

Modifier and Type	Class and Description
class	DoubleDBSCANClusters DBSCANClusters which also holds the original data

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

Classes in org.openimaj.ml.clustering.kdtree that implement SpatialClusters

Modifier and Type	Class and Description
class	KDTreeClusters

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

Classes in org.openimaj.ml.clustering.kmeans that implement SpatialClusters

Modifier and Type	Class and Description
static class	ByteKMeans.Result Result object for ByteKMeans, extending ByteCentroidsResult and ByteNearestNeighboursProvider, as well as giving access to state information from the operation of the K-Means algorithm (i.e.
static class	DoubleKMeans.Result Result object for DoubleKMeans, extending DoubleCentroidsResult and DoubleNearestNeighboursProvider, as well as giving access to state information from the operation of the K-Means algorithm (i.e.
static class	FeatureVectorKMeans.Result<T extends FeatureVector> Result object for FeatureVectorKMeans, extending FeatureVectorCentroidsResult and ObjectNearestNeighboursProvider, as well as giving access to state information from the operation of the K-Means algorithm (i.e.
static class	FloatKMeans.Result Result object for FloatKMeans, extending FloatCentroidsResult and FloatNearestNeighboursProvider, as well as giving access to state information from the operation of the K-Means algorithm (i.e.
class	HierarchicalByteKMeansResult The result of a HierarchicalByteKMeans clustering operation.
class	HierarchicalDoubleKMeansResult The result of a HierarchicalDoubleKMeans clustering operation.
class	HierarchicalFloatKMeansResult The result of a HierarchicalFloatKMeans clustering operation.
class	HierarchicalIntKMeansResult The result of a HierarchicalIntKMeans clustering operation.
class	HierarchicalLongKMeansResult The result of a HierarchicalLongKMeans clustering operation.
class	HierarchicalShortKMeansResult The result of a HierarchicalShortKMeans clustering operation.
static class	IntKMeans.Result Result object for IntKMeans, extending IntCentroidsResult and IntNearestNeighboursProvider, as well as giving access to state information from the operation of the K-Means algorithm (i.e.
static class	LongKMeans.Result Result object for LongKMeans, extending LongCentroidsResult and LongNearestNeighboursProvider, as well as giving access to state information from the operation of the K-Means algorithm (i.e.
static class	ShortKMeans.Result Result object for ShortKMeans, extending ShortCentroidsResult and ShortNearestNeighboursProvider, as well as giving access to state information from the operation of the K-Means algorithm (i.e.
class	SphericalKMeansResult The result of a SpatialClusterer that just produces a flat set of centroids.

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

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

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.

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

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

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

Uses of SpatialClusters in org.openimaj.ml.clustering.spectral

Methods in org.openimaj.ml.clustering.spectral that return types with arguments of type SpatialClusters

Modifier and Type	Method and Description
SpatialClusterer<? extends SpatialClusters<DATATYPE>,DATATYPE>	SpectralClusteringConf.DefaultClustererFunction.apply(IndependentPair<double[],double[][]> in)

Constructor parameters in org.openimaj.ml.clustering.spectral with type arguments of type SpatialClusters

Constructor and Description
DefaultClustererFunction(SpatialClusterer<? extends SpatialClusters<DATATYPE>,DATATYPE> internal)
MultiviewSpectralClusteringConf(double lambda, SpatialClusterer<? extends SpatialClusters<DATATYPE>,DATATYPE> internal)
MultiviewSpectralClusteringConf(double lambda, SpatialClusterer<? extends SpatialClusters<DATATYPE>,DATATYPE> internal, GraphLaplacian laplacian)
MultiviewSpectralClusteringConf(double lambda, SpatialClusterer<? extends SpatialClusters<DATATYPE>,DATATYPE> internal, int eigK)
SpectralClusteringConf(SpatialClusterer<? extends SpatialClusters<DATATYPE>,DATATYPE> internal) The underlying EigenChooser is set to an ChangeDetectingEigenChooser which looks for a 100x gap between eigen vectors to select number of clusters.
SpectralClusteringConf(SpatialClusterer<? extends SpatialClusters<DATATYPE>,DATATYPE> internal, GraphLaplacian laplacian) The underlying EigenChooser is set to an ChangeDetectingEigenChooser which looks for a 100x gap between eigen vectors to select number of clusters.
SpectralClusteringConf(SpatialClusterer<? extends SpatialClusters<DATATYPE>,DATATYPE> internal, GraphLaplacian lap, int top)
SpectralClusteringConf(SpatialClusterer<? extends SpatialClusters<DATATYPE>,DATATYPE> internal, int eigK)

Uses of SpatialClusters in org.openimaj.tools.clusterquantiser

Fields in org.openimaj.tools.clusterquantiser with type parameters of type SpatialClusters

Modifier and Type	Field and Description
protected Class<? extends SpatialClusters<?>>	ClusterQuantiserOptions.clusterClass
protected Class<? extends SpatialClusters<?>>	ClusterQuantiserOptions.otherClusterClass

Methods in org.openimaj.tools.clusterquantiser that return SpatialClusters

Modifier and Type	Method and Description
abstract SpatialClusters<?>	ClusterType.ClusterTypeOp.create(byte[][] data) Create clusters from data
SpatialClusters<?>	ClusterType.ClusterTypeOp.create(List<SampleBatch> batches) Create clusters from data
static SpatialClusters<?>	ClusterQuantiser.do_create(ClusterQuantiserOptions options) create new clusters

Methods in org.openimaj.tools.clusterquantiser that return types with arguments of type SpatialClusters

Modifier and Type	Method and Description
abstract Class<? extends SpatialClusters<?>>	ClusterType.ClusterTypeOp.getClusterClass()
Class<? extends SpatialClusters<?>>	ClusterQuantiserOptions.getClusterClass()
abstract Class<? extends SpatialClusters<?>>	AbstractClusterQuantiserOptions.getClusterClass()
Class<? extends SpatialClusters<?>>	ClusterQuantiserOptions.getOtherInfoClass()
abstract Class<? extends SpatialClusters<?>>	AbstractClusterQuantiserOptions.getOtherInfoClass()