Uses of Package
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees

Packages that use de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees

Package	Description
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp	MkAppTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop	MkCoPTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax	MkMaxTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab	MkTabTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query	Classes for performing queries (knn, range, ...) on metrical trees.

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees

Class and Description
AbstractMkTree 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 Abstract factory for various Mk-Trees
MkTreeSettings Class with settings for MkTrees.

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Class and Description
AbstractMkTree 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.
MkTreeSettings Class with settings for MkTrees.

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Class and Description
AbstractMkTree 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.
MkTreeSettings Class with settings for MkTrees.

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Class and Description
AbstractMkTree 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 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 Abstract factory for various Mk-Trees
AbstractMkTreeUnifiedFactory.Parameterizer Parameterization class.
MkTreeSettings Class with settings for MkTrees.

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Class and Description
AbstractMkTree 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 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 Abstract factory for various Mk-Trees
AbstractMkTreeUnifiedFactory.Parameterizer Parameterization class.
MkTreeSettings Class with settings for MkTrees.

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees used by de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query

Class and Description
AbstractMkTree 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.