See: Description
Class | Description |
---|---|
AbstractMkTree<O,D extends NumberDistance<D,?>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry,S extends MTreeSettings<O,D,N,E>> |
Abstract class for all M-Tree variants supporting processing of reverse
k-nearest neighbor queries by using the k-nn distances of the entries, where
k is less than or equal to the given parameter.
|
AbstractMkTreeUnified<O,D extends NumberDistance<D,?>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry,S extends MkTreeSettings<O,D,N,E>> |
Abstract class for all M-Tree variants supporting processing of reverse
k-nearest neighbor queries by using the k-nn distances of the entries, where
k is less than or equal to the given parameter.
|
AbstractMkTreeUnifiedFactory<O,D extends NumberDistance<D,?>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry,I extends AbstractMkTree<O,D,N,E,S> & Index,S extends MkTreeSettings<O,D,N,E>> |
Abstract factory for various Mk-Trees
|
AbstractMkTreeUnifiedFactory.Parameterizer<O,D extends NumberDistance<D,?>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry,S extends MkTreeSettings<O,D,N,E>> |
Parameterization class.
|
MkTreeHeader |
Encapsulates the header information for subclasses of
AbstractMkTreeUnified . |
MkTreeSettings<O,D extends NumberDistance<D,?>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry> |
Class with settings for MkTrees.
|
Metrical index structures based on the concepts of the M-Tree supporting processing of reverse k nearest neighbor queries by using the k-nn distances of the entries.