de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk

Class MaxExtensionBulkSplit

java.lang.Object

de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.AbstractBulkSplit

de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.MaxExtensionBulkSplit

All Implemented Interfaces:

BulkSplit

@Alias(value="de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.bulk.MaxExtensionBulkSplit")
public class MaxExtensionBulkSplit
extends AbstractBulkSplit

Split strategy for bulk-loading a spatial tree where the split axes are the dimensions with maximum extension.

Since:

0.4.0

Author:

Elke Achtert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	MaxExtensionBulkSplit.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private static Logging	LOG Logger.
static MaxExtensionBulkSplit	STATIC Static instance

Constructor Summary

Constructors

Constructor and Description
MaxExtensionBulkSplit() Constructor

Method Summary

Modifier and Type	Method and Description
private int	chooseMaximalExtendedSplitAxis(java.util.List<? extends SpatialComparable> objects) Computes and returns the best split axis.
<N extends SpatialComparable> java.util.List<java.util.List<N>>	partition(java.util.List<N> spatialObjects, int minEntries, int maxEntries) Partitions the specified feature vectors where the split axes are the dimensions with maximum extension.

Methods inherited from class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk.AbstractBulkSplit

chooseBulkSplitPoint, trivialPartition

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

LOG

private static final Logging LOG

Logger.

STATIC

public static final MaxExtensionBulkSplit STATIC

Static instance

Constructor Detail

MaxExtensionBulkSplit

public MaxExtensionBulkSplit()

Constructor

Method Detail

partition

public <N extends SpatialComparable> java.util.List<java.util.List<N>> partition(java.util.List<N> spatialObjects,
                                                                                 int minEntries,
                                                                                 int maxEntries)

Partitions the specified feature vectors where the split axes are the dimensions with maximum extension.

Type Parameters:

N - actual type we split

Parameters:

spatialObjects - the spatial objects to be partitioned

minEntries - the minimum number of entries in a partition

maxEntries - the maximum number of entries in a partition

Returns:

the partition of the specified spatial objects

chooseMaximalExtendedSplitAxis

private int chooseMaximalExtendedSplitAxis(java.util.List<? extends SpatialComparable> objects)

Computes and returns the best split axis. The best split axis is the split axes with the maximal extension.

Parameters:

objects - the spatial objects to be split

Returns:

the best split axis