Modifier and Type | Field and Description |
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private IndexTree<N,E> |
BreadthFirstEnumeration.index
The index storing the nodes.
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Constructor and Description |
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BreadthFirstEnumeration(IndexTree<N,E> index,
IndexTreePath<E> rootPath)
Creates a new breadth first enumeration with the specified node as root
node.
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Modifier and Type | Class and Description |
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class |
MetricalIndexTree<O,D extends Distance<D>,N extends Node<E>,E extends Entry>
Abstract super class for all metrical index classes.
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Modifier and Type | Class and Description |
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class |
AbstractMTree<O,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>>
Abstract super class for all M-Tree variants.
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Modifier and Type | Class and Description |
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class |
AbstractMkTree<O,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>>
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.
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class |
AbstractMkTreeUnified<O,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>>
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.
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Modifier and Type | Class and Description |
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class |
MkAppTree<O,D extends NumberDistance<D,?>>
MkAppTree is a metrical index structure based on the concepts of the M-Tree
supporting efficient processing of reverse k nearest neighbor queries for
parameter k < kmax.
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class |
MkAppTreeIndex<O,D extends NumberDistance<D,?>>
MkAppTree used as database index.
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Modifier and Type | Class and Description |
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class |
MkCoPTree<O,D extends NumberDistance<D,?>>
MkCopTree is a metrical index structure based on the concepts of the M-Tree
supporting efficient processing of reverse k nearest neighbor queries for
parameter k < kmax.
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class |
MkCoPTreeIndex<O,D extends NumberDistance<D,?>>
MkCoPTree used as database index.
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Modifier and Type | Class and Description |
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class |
MkMaxTree<O,D extends Distance<D>>
MkMaxTree is a metrical index structure based on the concepts of the M-Tree
supporting efficient processing of reverse k nearest neighbor queries for
parameter k <= k_max.
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class |
MkMaxTreeIndex<O,D extends Distance<D>> |
Modifier and Type | Class and Description |
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class |
MkTabTree<O,D extends Distance<D>>
MkTabTree is a metrical index structure based on the concepts of the M-Tree
supporting efficient processing of reverse k nearest neighbor queries for
parameter k < kmax.
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class |
MkTabTreeIndex<O,D extends Distance<D>>
MkTabTree used as database index.
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Modifier and Type | Class and Description |
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class |
MTree<O,D extends Distance<D>>
MTree is a metrical index structure based on the concepts of the M-Tree.
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class |
MTreeIndex<O,D extends Distance<D>>
Class for using an m-tree as database index.
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Modifier and Type | Class and Description |
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class |
SpatialIndexTree<N extends SpatialNode<N,E>,E extends SpatialEntry>
Abstract super class for all spatial index tree classes.
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Modifier and Type | Class and Description |
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class |
AbstractRStarTree<N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry>
Abstract superclass for index structures based on a R*-Tree.
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class |
NonFlatRStarTree<N extends AbstractRStarTreeNode<N,E>,E extends SpatialEntry>
Abstract superclass for all non-flat R*-Tree variants.
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Modifier and Type | Class and Description |
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class |
DeLiCluTree
DeLiCluTree is a spatial index structure based on an R-TRee.
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class |
DeLiCluTreeIndex<O extends NumberVector<?,?>>
The common use of the DeLiClu tree: indexing number vectors.
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Modifier and Type | Class and Description |
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class |
RStarTree
RStarTree is a spatial index structure based on the concepts of the R*-Tree.
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class |
RStarTreeIndex<O extends NumberVector<?,?>>
The common use of the rstar tree: indexing number vectors.
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