weka.core.neighboursearch.balltrees

Class MedianOfWidestDimension

java.lang.Object

weka.core.neighboursearch.balltrees.BallSplitter

weka.core.neighboursearch.balltrees.MedianOfWidestDimension

All Implemented Interfaces:

java.io.Serializable, OptionHandler, RevisionHandler, TechnicalInformationHandler

public class MedianOfWidestDimension
extends BallSplitter
implements OptionHandler, TechnicalInformationHandler

Class that splits a BallNode of a ball tree based on the median value of the widest dimension of the points in the ball. It essentially implements Omohundro's KD construction algorithm.

BibTeX:

 @techreport{Omohundro1989,
    author = {Stephen M. Omohundro},
    institution = {International Computer Science Institute},
    month = {December},
    number = {TR-89-063},
    title = {Five Balltree Construction Algorithms},
    year = {1989}
 }
 

Valid options are:

 -N
  Normalize dimensions' widths.
 

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected boolean	m_NormalizeDimWidths Should we normalize the widths(ranges) of the dimensions (attributes) before selecting the widest one.

Fields inherited from class weka.core.neighboursearch.balltrees.BallSplitter

m_DistanceFunction, m_Instances, m_Instlist

Constructor Summary

Constructors

Constructor and Description
MedianOfWidestDimension() Constructor.
MedianOfWidestDimension(int[] instList, Instances insts, EuclideanDistance e) Constructor.

Method Summary

Modifier and Type	Method and Description
boolean	getNormalizeDimWidths() Whether we are normalizing the widths(ranges) of the dimensions (attributes) or not.
java.lang.String[]	getOptions() Gets the current settings.
java.lang.String	getRevision() Returns the revision string.
TechnicalInformation	getTechnicalInformation() Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
java.lang.String	globalInfo() Returns a string describing this nearest neighbour search algorithm.
java.util.Enumeration<Option>	listOptions() Returns an enumeration describing the available options.
java.lang.String	normalizeDimWidthsTipText() Returns the tip text for this property.
protected int	partition(int attIdx, int[] index, int l, int r) Partitions the instances around a pivot.
int	select(int attIdx, int[] indices, int left, int right, int k) Implements computation of the kth-smallest element according to Manber's "Introduction to Algorithms".
void	setNormalizeDimWidths(boolean normalize) Should we normalize the widths(ranges) of the dimensions (attributes) before selecting the widest one.
void	setOptions(java.lang.String[] options) Parses a given list of options
void	splitNode(BallNode node, int numNodesCreated) Splits a ball into two.
protected int	widestDim(double[][] nodeRanges, double[][] universe) Returns the widest dimension.

Methods inherited from class weka.core.neighboursearch.balltrees.BallSplitter

correctlyInitialized, setEuclideanDistanceFunction, setInstanceList, setInstances

Methods inherited from class java.lang.Object

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

Field Detail

m_NormalizeDimWidths

protected boolean m_NormalizeDimWidths

Should we normalize the widths(ranges) of the dimensions (attributes) before selecting the widest one.

Constructor Detail

MedianOfWidestDimension

public MedianOfWidestDimension()

Constructor.

MedianOfWidestDimension

public MedianOfWidestDimension(int[] instList,
                               Instances insts,
                               EuclideanDistance e)

Constructor.

Parameters:

instList - The master index array.

insts - The instances on which the tree is (or is to be) built.

e - The Euclidean distance function to use for splitting.

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing this nearest neighbour search algorithm.

Returns:

a description of the algorithm for displaying in the explorer/experimenter gui

getTechnicalInformation

public TechnicalInformation getTechnicalInformation()

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

Specified by:

getTechnicalInformation in interface TechnicalInformationHandler

Returns:

the technical information about this class

splitNode

public void splitNode(BallNode node,
                      int numNodesCreated)
               throws java.lang.Exception

Splits a ball into two.

Specified by:

splitNode in class BallSplitter

Parameters:

node - The node to split.

numNodesCreated - The number of nodes that so far have been created for the tree, so that the newly created nodes are assigned correct/meaningful node numbers/ids.

Throws:

java.lang.Exception - If there is some problem in splitting the given node.

partition

protected int partition(int attIdx,
                        int[] index,
                        int l,
                        int r)

Partitions the instances around a pivot. Used by quicksort and kthSmallestValue.

Parameters:

attIdx - The attribution/dimension based on which the instances should be partitioned.

index - The master index array containing indices of the instances.

l - The begining index of the portion of master index array that should be partitioned.

r - The end index of the portion of master index array that should be partitioned.

Returns:

the index of the middle element (in the master index array, i.e. index of the index of middle element).

select

public int select(int attIdx,
                  int[] indices,
                  int left,
                  int right,
                  int k)

Implements computation of the kth-smallest element according to Manber's "Introduction to Algorithms".

Parameters:

attIdx - The dimension/attribute of the instances in which to find the kth-smallest element.

indices - The master index array containing indices of the instances.

left - The begining index of the portion of the master index array in which to find the kth-smallest element.

right - The end index of the portion of the master index array in which to find the kth-smallest element.

k - The value of k

Returns:

The index of the kth-smallest element

widestDim

protected int widestDim(double[][] nodeRanges,
                        double[][] universe)

Returns the widest dimension. The width of each dimension (for the points inside the node) is normalized, if m_NormalizeNodeWidth is set to true.

Parameters:

nodeRanges - The attributes' range of the points inside the node that is to be split.

universe - The attributes' range for the whole point-space.

Returns:

The index of the attribute/dimension in which the points of the node have widest spread.

normalizeDimWidthsTipText

public java.lang.String normalizeDimWidthsTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setNormalizeDimWidths

public void setNormalizeDimWidths(boolean normalize)

Should we normalize the widths(ranges) of the dimensions (attributes) before selecting the widest one.

Parameters:

normalize - Should be true if the widths are to be normalized.

getNormalizeDimWidths

public boolean getNormalizeDimWidths()

Whether we are normalizing the widths(ranges) of the dimensions (attributes) or not.

Returns:

true if widths are being normalized.

listOptions

public java.util.Enumeration<Option> listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class BallSplitter

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options. Valid options are:

 -N
  Normalize dimensions' widths.
 

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class BallSplitter

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.String[] getOptions()

Gets the current settings.

Specified by:

getOptions in interface OptionHandler

Overrides:

getOptions in class BallSplitter

Returns:

An array of strings suitable for passing to setOptions or to be displayed by a GenericObjectEditor.

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class BallSplitter

Returns:

the revision