weka.core.neighboursearch

## Class NearestNeighbourSearch

- java.lang.Object
- - weka.core.neighboursearch.NearestNeighbourSearch

- All Implemented Interfaces:
    java.io.Serializable, AdditionalMeasureProducer, OptionHandler, RevisionHandler
  Direct Known Subclasses:
    BallTree, CoverTree, FilteredNeighbourSearch, KDTree, LinearNNSearch

      public abstract class NearestNeighbourSearch
      extends java.lang.Object
      implements java.io.Serializable, OptionHandler, AdditionalMeasureProducer, RevisionHandler

  Abstract class for nearest neighbour search. All algorithms (classes) that do nearest neighbour search should extend this class.
  Version:
    $Revision: 10203 $
  Author:
    Ashraf M. Kibriya (amk14[at-the-rate]cs[dot]waikato[dot]ac[dot]nz)
  See Also:
    Serialized Form

- - ### Constructor Summary

    Constructors
    Constructor and Description
    `NearestNeighbourSearch()` Constructor.
    `NearestNeighbourSearch(Instances insts)` Constructor.

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `void` | `addInstanceInfo(Instance ins)` Adds information from the given instance without modifying the datastructure a lot.
    `static void` | `combSort11(double[] arrayToSort, int[] linkedArray)` sorts the two given arrays.
    `java.lang.String` | `distanceFunctionTipText()` Returns the tip text for this property.
    `java.util.Enumeration<java.lang.String>` | `enumerateMeasures()` Returns an enumeration of the additional measure names.
    `DistanceFunction` | `getDistanceFunction()` returns the distance function currently in use.
    `abstract double[]` | `getDistances()` Returns the distances of the k nearest neighbours.
    `Instances` | `getInstances()` returns the instances currently set.
    `double` | `getMeasure(java.lang.String additionalMeasureName)` Returns the value of the named measure.
    `boolean` | `getMeasurePerformance()` Gets whether performance statistics are being calculated or not.
    `java.lang.String[]` | `getOptions()` Gets the current settings.
    `PerformanceStats` | `getPerformanceStats()` Gets the class object that contains the performance statistics of the search method.
    `java.lang.String` | `globalInfo()` Returns a string describing this nearest neighbour search algorithm.
    `abstract Instances` | `kNearestNeighbours(Instance target, int k)` Returns k nearest instances in the current neighbourhood to the supplied instance.
    `java.util.Enumeration<Option>` | `listOptions()` Returns an enumeration describing the available options.
    `java.lang.String` | `measurePerformanceTipText()` Returns the tip text for this property.
    `abstract Instance` | `nearestNeighbour(Instance target)` Returns the nearest instance in the current neighbourhood to the supplied instance.
    `static void` | `quickSort(double[] arrayToSort, double[] linkedArray, int left, int right)` performs quicksort.
    `void` | `setDistanceFunction(DistanceFunction df)` sets the distance function to use for nearest neighbour search.
    `void` | `setInstances(Instances insts)` Sets the instances.
    `void` | `setMeasurePerformance(boolean measurePerformance)` Sets whether to calculate the performance statistics or not.
    `void` | `setOptions(java.lang.String[] options)` Parses a given list of options.
    `abstract void` | `update(Instance ins)` Updates the NearNeighbourSearch algorithm for the new added instance.

    - ### Methods inherited from class java.lang.Object

      `equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

    - ### Methods inherited from interface weka.core.RevisionHandler

      `getRevision`

- - ### Constructor Detail

    - #### NearestNeighbourSearch

          public NearestNeighbourSearch()

      Constructor.

    - #### NearestNeighbourSearch

          public NearestNeighbourSearch(Instances insts)

      Constructor.
      Parameters:
        `insts` - The set of instances that constitute the neighbourhood.

  - ### 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

    - #### listOptions

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

      Returns an enumeration describing the available options.
      Specified by:
        `listOptions` in interface `OptionHandler`
      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:
      Specified by:
        `setOptions` in interface `OptionHandler`
      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`
      Returns:
        an array of strings suitable for passing to setOptions()

    - #### distanceFunctionTipText

          public java.lang.String distanceFunctionTipText()

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

    - #### getDistanceFunction

          public DistanceFunction getDistanceFunction()

      returns the distance function currently in use.
      Returns:
        the distance function

    - #### setDistanceFunction

          public void setDistanceFunction(DistanceFunction df)
                                   throws java.lang.Exception

      sets the distance function to use for nearest neighbour search.
      Parameters:
        `df` - the new distance function to use
      Throws:
        `java.lang.Exception` - if instances cannot be processed

    - #### measurePerformanceTipText

          public java.lang.String measurePerformanceTipText()

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

    - #### getMeasurePerformance

          public boolean getMeasurePerformance()

      Gets whether performance statistics are being calculated or not.
      Returns:
        true if the measure performance is calculated

    - #### setMeasurePerformance

          public void setMeasurePerformance(boolean measurePerformance)

      Sets whether to calculate the performance statistics or not.
      Parameters:
        `measurePerformance` - if true then the performance is calculated

    - #### nearestNeighbour

          public abstract Instance nearestNeighbour(Instance target)
                                             throws java.lang.Exception

      Returns the nearest instance in the current neighbourhood to the supplied instance.
      Parameters:
        `target` - The instance to find the nearest neighbour for.
      Returns:
        the nearest neighbor
      Throws:
        `java.lang.Exception` - if the nearest neighbour could not be found.

    - #### kNearestNeighbours

          public abstract Instances kNearestNeighbours(Instance target,
                                     int k)
                                                throws java.lang.Exception

      Returns k nearest instances in the current neighbourhood to the supplied instance.
      Parameters:
        `target` - The instance to find the k nearest neighbours for.
        `k` - The number of nearest neighbours to find.
      Returns:
        the k nearest neighbors
      Throws:
        `java.lang.Exception` - if the neighbours could not be found.

    - #### getDistances

          public abstract double[] getDistances()
                                         throws java.lang.Exception

      Returns the distances of the k nearest neighbours. The kNearestNeighbours or nearestNeighbour needs to be called first for this to work.
      Returns:
        the distances
      Throws:
        `java.lang.Exception` - if called before calling kNearestNeighbours or nearestNeighbours.

    - #### update

          public abstract void update(Instance ins)
                               throws java.lang.Exception

      Updates the NearNeighbourSearch algorithm for the new added instance. P.S.: The method assumes the instance has already been added to the m_Instances object by the caller.
      Parameters:
        `ins` - the instance to add
      Throws:
        `java.lang.Exception` - if updating fails

    - #### addInstanceInfo

          public void addInstanceInfo(Instance ins)

      Adds information from the given instance without modifying the datastructure a lot.
      Parameters:
        `ins` - the instance to add the information from

    - #### setInstances

          public void setInstances(Instances insts)
                            throws java.lang.Exception

      Sets the instances.
      Parameters:
        `insts` - the instances to use
      Throws:
        `java.lang.Exception` - if setting fails

    - #### getInstances

          public Instances getInstances()

      returns the instances currently set.
      Returns:
        the current instances

    - #### getPerformanceStats

          public PerformanceStats getPerformanceStats()

      Gets the class object that contains the performance statistics of the search method.
      Returns:
        the performance statistics

    - #### enumerateMeasures

          public java.util.Enumeration<java.lang.String> enumerateMeasures()

      Returns an enumeration of the additional measure names.
      Specified by:
        `enumerateMeasures` in interface `AdditionalMeasureProducer`
      Returns:
        an enumeration of the measure names

    - #### getMeasure

          public double getMeasure(java.lang.String additionalMeasureName)

      Returns the value of the named measure.
      Specified by:
        `getMeasure` in interface `AdditionalMeasureProducer`
      Parameters:
        `additionalMeasureName` - the name of the measure to query for its value
      Returns:
        the value of the named measure
      Throws:
        `java.lang.IllegalArgumentException` - if the named measure is not supported

    - #### combSort11

          public static void combSort11(double[] arrayToSort,
                        int[] linkedArray)

      sorts the two given arrays.
      Parameters:
        `arrayToSort` - The array sorting should be based on.
        `linkedArray` - The array that should have the same ordering as arrayToSort.

    - #### quickSort

          public static void quickSort(double[] arrayToSort,
                       double[] linkedArray,
                       int left,
                       int right)

      performs quicksort.
      Parameters:
        `arrayToSort` - the array to sort
        `linkedArray` - the linked array
        `left` - the first index of the subset
        `right` - the last index of the subset