org.openimaj.ml.clustering.assignment

Interface Assigner<DATATYPE>

Type Parameters:

DATATYPE - the primitive array datatype which represents a centroid of this cluster.

All Known Subinterfaces:

HardAssigner<DATATYPE,DISTANCES,DISTANCE_INDEX>, SoftAssigner<DATATYPE,DISTANCES>

All Known Implementing Classes:

ByteKNNAssigner, ClusterLimitedIntRAC, ConstrainedFloatAssigner, DoubleKNNAssigner, ExactByteAssigner, ExactDoubleAssigner, ExactFeatureVectorAssigner, ExactFloatAssigner, ExactIntAssigner, ExactLongAssigner, ExactShortAssigner, FloatKNNAssigner, HierarchicalByteHardAssigner, HierarchicalBytePathAssigner, HierarchicalDoubleHardAssigner, HierarchicalDoublePathAssigner, HierarchicalFloatHardAssigner, HierarchicalFloatPathAssigner, HierarchicalIntHardAssigner, HierarchicalIntPathAssigner, HierarchicalLongHardAssigner, HierarchicalLongPathAssigner, HierarchicalShortHardAssigner, HierarchicalShortPathAssigner, IntKNNAssigner, IntRAC, IntRandomForest, KDTreeByteEuclideanAssigner, KDTreeDoubleEuclideanAssigner, KDTreeFloatEuclideanAssigner, KDTreeIntEuclideanAssigner, KDTreeLongEuclideanAssigner, KDTreeShortEuclideanAssigner, LongKNNAssigner, ShortKNNAssigner

public interface Assigner<DATATYPE>

Super interface for all assigners. Assigners take a point and assign it to cluster(s).

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Method Summary

Modifier and Type	Method and Description
int	numDimensions() Get the number of dimensions of the input vectors.

Method Detail

numDimensions

int numDimensions()

Get the number of dimensions of the input vectors.

Returns:

the number of dimensions