Package org.openimaj.ml.clustering.assignment.hard

Class Summary

Class	Description
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.
ExactByteAssigner	A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
ExactDoubleAssigner	A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
ExactFeatureVectorAssigner<T extends FeatureVector>	A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
ExactFloatAssigner	A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
ExactIntAssigner	A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
ExactLongAssigner	A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
ExactShortAssigner	A HardAssigner that assigns points to the closest cluster based on the distance to the centroid.
HierarchicalByteHardAssigner	The HierarchicalByteHardAssigner is a HardAssigner for HierarchicalByteKMeansResult instances.
HierarchicalDoubleHardAssigner	The HierarchicalDoubleHardAssigner is a HardAssigner for HierarchicalDoubleKMeansResult instances.
HierarchicalFloatHardAssigner	The HierarchicalFloatHardAssigner is a HardAssigner for HierarchicalFloatKMeansResult instances.
HierarchicalIntHardAssigner	The HierarchicalIntHardAssigner is a HardAssigner for HierarchicalIntKMeansResult instances.
HierarchicalLongHardAssigner	The HierarchicalLongHardAssigner is a HardAssigner for HierarchicalLongKMeansResult instances.
HierarchicalShortHardAssigner	The HierarchicalShortHardAssigner is a HardAssigner for HierarchicalShortKMeansResult instances.
KDTreeByteEuclideanAssigner	A HardAssigner that uses a ByteNearestNeighboursKDTree to generate approximately correct cluster assignments.
KDTreeDoubleEuclideanAssigner	A HardAssigner that uses a DoubleNearestNeighboursKDTree to generate approximately correct cluster assignments.
KDTreeFloatEuclideanAssigner	A HardAssigner that uses a FloatNearestNeighboursKDTree to generate approximately correct cluster assignments.
KDTreeIntEuclideanAssigner	A HardAssigner that uses a IntNearestNeighboursKDTree to generate approximately correct cluster assignments.
KDTreeLongEuclideanAssigner	A HardAssigner that uses a LongNearestNeighboursKDTree to generate approximately correct cluster assignments.
KDTreeShortEuclideanAssigner	A HardAssigner that uses a ShortNearestNeighboursKDTree to generate approximately correct cluster assignments.

Enum Summary

Enum	Description
HierarchicalByteHardAssigner.ScoringScheme	The HierarchicalByteHardAssigner.ScoringScheme determines how the distance to a cluster is estimated from the hierarchy of k-means generated clusters.
HierarchicalDoubleHardAssigner.ScoringScheme	The HierarchicalDoubleHardAssigner.ScoringScheme determines how the distance to a cluster is estimated from the hierarchy of k-means generated clusters.
HierarchicalFloatHardAssigner.ScoringScheme	The HierarchicalFloatHardAssigner.ScoringScheme determines how the distance to a cluster is estimated from the hierarchy of k-means generated clusters.
HierarchicalIntHardAssigner.ScoringScheme	The HierarchicalIntHardAssigner.ScoringScheme determines how the distance to a cluster is estimated from the hierarchy of k-means generated clusters.
HierarchicalLongHardAssigner.ScoringScheme	The HierarchicalLongHardAssigner.ScoringScheme determines how the distance to a cluster is estimated from the hierarchy of k-means generated clusters.
HierarchicalShortHardAssigner.ScoringScheme	The HierarchicalShortHardAssigner.ScoringScheme determines how the distance to a cluster is estimated from the hierarchy of k-means generated clusters.