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## weka.core.neighboursearch.kdtrees
Class KMeansInpiredMethod

    java.lang.Object
      weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
          weka.core.neighboursearch.kdtrees.KMeansInpiredMethod

All Implemented Interfaces:
  java.io.Serializable, OptionHandler, RevisionHandler, TechnicalInformationHandler

    public class KMeansInpiredMethod

extends KDTreeNodeSplitter
implements TechnicalInformationHandler

The class that splits a node into two such that the overall sum of squared distances of points to their centres on both sides of the (axis-parallel) splitting plane is minimum.
For more information see also:
Ashraf Masood Kibriya (2007). Fast Algorithms for Nearest Neighbour Search. Hamilton, New Zealand.

BibTeX:

     @mastersthesis{Kibriya2007,
        address = {Hamilton, New Zealand},
        author = {Ashraf Masood Kibriya},
        school = {Department of Computer Science, School of Computing and Mathematical Sciences, University of Waikato},
        title = {Fast Algorithms for Nearest Neighbour Search},
        year = {2007}
     }

Version:
  $Revision: 1.2 $
Author:
  Ashraf M. Kibriya (amk14[at-the-rate]cs[dot]waikato[dot]ac[dot]nz)
See Also:
  Serialized Form

Field Summary

Fields inherited from class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
`MAX, MIN, WIDTH`

Constructor Summary
`KMeansInpiredMethod()`

Method Summary
`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.
`void` | `splitNode(KDTreeNode node, int numNodesCreated, double[][] nodeRanges, double[][] universe)` Splits a node into two such that the overall sum of squared distances of points to their centres on both sides of the (axis-parallel) splitting plane is minimum.

Methods inherited from class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
`getOptions, listOptions, setEuclideanDistanceFunction, setInstanceList, setInstances, setNodeWidthNormalization, setOptions`

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### KMeansInpiredMethod

    public KMeansInpiredMethod()

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(KDTreeNode node,
                          int numNodesCreated,
                          double[][] nodeRanges,
                          double[][] universe)
                   throws java.lang.Exception

  Splits a node into two such that the overall sum of squared distances of points to their centres on both sides of the (axis-parallel) splitting plane is minimum. The two nodes created after the whole splitting are correctly initialised. And, node.left and node.right are set appropriately.

  Specified by:
    `splitNode` in class `KDTreeNodeSplitter`
  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.
    `nodeRanges` - The attributes' range for the points inside the node that is to be split.
    `universe` - The attributes' range for the whole point-space.
  Throws:
    `java.lang.Exception` - If there is some problem in splitting the given node.

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

  Specified by:
    `getRevision` in interface `RevisionHandler`
  Overrides:
    `getRevision` in class `KDTreeNodeSplitter`
  Returns:
    the revision

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