weka.core.neighboursearch

## Class LinearNNSearch

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

- All Implemented Interfaces:
    java.io.Serializable, AdditionalMeasureProducer, OptionHandler, RevisionHandler

      public class LinearNNSearch
      extends NearestNeighbourSearch

  Class implementing the brute force search algorithm for nearest neighbour search.

  Valid options are:

       -S
        Skip identical instances (distances equal to zero).

  Version:
    $Revision: 10141 $
  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
    `LinearNNSearch()` Constructor.
    `LinearNNSearch(Instances insts)` Constructor that uses the supplied set of instances.

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `void` | `addInstanceInfo(Instance ins)` Adds the given instance info.
    `double[]` | `getDistances()` Returns the distances of the k nearest neighbours.
    `java.lang.String[]` | `getOptions()` Gets the current settings.
    `java.lang.String` | `getRevision()` Returns the revision string.
    `boolean` | `getSkipIdentical()` Gets whether if identical instances are skipped from the neighbourhood.
    `java.lang.String` | `globalInfo()` Returns a string describing this nearest neighbour search algorithm.
    `Instances` | `kNearestNeighbours(Instance target, int kNN)` Returns k nearest instances in the current neighbourhood to the supplied instance.
    `java.util.Enumeration<Option>` | `listOptions()` Returns an enumeration describing the available options.
    `Instance` | `nearestNeighbour(Instance target)` Returns the nearest instance in the current neighbourhood to the supplied instance.
    `void` | `setInstances(Instances insts)` Sets the instances comprising the current neighbourhood.
    `void` | `setOptions(java.lang.String[] options)` Parses a given list of options.
    `void` | `setSkipIdentical(boolean skip)` Sets the property to skip identical instances (with distance zero from the target) from the set of neighbours returned.
    `java.lang.String` | `skipIdenticalTipText()` Returns the tip text for this property.
    `void` | `update(Instance ins)` Updates the LinearNNSearch to cater for the new added instance.

    - ### Methods inherited from class weka.core.neighboursearch.NearestNeighbourSearch

      `combSort11, distanceFunctionTipText, enumerateMeasures, getDistanceFunction, getInstances, getMeasure, getMeasurePerformance, getPerformanceStats, measurePerformanceTipText, quickSort, setDistanceFunction, setMeasurePerformance`

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

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

- - ### Constructor Detail

    - #### LinearNNSearch

          public LinearNNSearch()

      Constructor. Needs setInstances(Instances) to be called before the class is usable.

    - #### LinearNNSearch

          public LinearNNSearch(Instances insts)

      Constructor that uses the supplied set of instances.
      Parameters:
        `insts` - the instances to use

  - ### Method Detail

    - #### globalInfo

          public java.lang.String globalInfo()

      Returns a string describing this nearest neighbour search algorithm.
      Overrides:
        `globalInfo` in class `NearestNeighbourSearch`
      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`
      Overrides:
        `listOptions` in class `NearestNeighbourSearch`
      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:

           -S
            Skip identical instances (distances equal to zero).

      Specified by:
        `setOptions` in interface `OptionHandler`
      Overrides:
        `setOptions` in class `NearestNeighbourSearch`
      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 `NearestNeighbourSearch`
      Returns:
        an array of strings suitable for passing to setOptions()

    - #### skipIdenticalTipText

          public java.lang.String skipIdenticalTipText()

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

    - #### setSkipIdentical

          public void setSkipIdentical(boolean skip)

      Sets the property to skip identical instances (with distance zero from the target) from the set of neighbours returned.
      Parameters:
        `skip` - if true, identical intances are skipped

    - #### getSkipIdentical

          public boolean getSkipIdentical()

      Gets whether if identical instances are skipped from the neighbourhood.
      Returns:
        true if identical instances are skipped

    - #### nearestNeighbour

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

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

    - #### kNearestNeighbours

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

      Returns k nearest instances in the current neighbourhood to the supplied instance.
      Specified by:
        `kNearestNeighbours` in class `NearestNeighbourSearch`
      Parameters:
        `target` - The instance to find the k nearest neighbours for.
        `kNN` - 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 double[] getDistances()
                                throws java.lang.Exception

      Returns the distances of the k nearest neighbours. The kNearestNeighbours or nearestNeighbour must always be called before calling this function. If this function is called before calling either the kNearestNeighbours or the nearestNeighbour, then it throws an exception. If, however, if either of the nearestNeighbour functions are called at any point in the past then no exception is thrown and the distances of the training set from the last supplied target instance (to either one of the nearestNeighbour functions) is/are returned.
      Specified by:
        `getDistances` in class `NearestNeighbourSearch`
      Returns:
        array containing the distances of the nearestNeighbours. The length and ordering of the array is the same as that of the instances returned by nearestNeighbour functions.
      Throws:
        `java.lang.Exception` - if called before calling kNearestNeighbours or nearestNeighbours.

    - #### setInstances

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

      Sets the instances comprising the current neighbourhood.
      Overrides:
        `setInstances` in class `NearestNeighbourSearch`
      Parameters:
        `insts` - The set of instances on which the nearest neighbour search is carried out. Usually this set is the training set.
      Throws:
        `java.lang.Exception` - if setting of instances fails

    - #### update

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

      Updates the LinearNNSearch to cater for the new added instance. This implementation only updates the ranges of the DistanceFunction class, since our set of instances is passed by reference and should already have the newly added instance.
      Specified by:
        `update` in class `NearestNeighbourSearch`
      Parameters:
        `ins` - The instance to add. Usually this is the instance that is added to our neighbourhood i.e. the training instances.
      Throws:
        `java.lang.Exception` - if the given instances are null

    - #### addInstanceInfo

          public void addInstanceInfo(Instance ins)

      Adds the given instance info. This implementation updates the range datastructures of the DistanceFunction class.
      Overrides:
        `addInstanceInfo` in class `NearestNeighbourSearch`
      Parameters:
        `ins` - The instance to add the information of. Usually this is the test instance supplied to update the range of attributes in the distance function.

    - #### getRevision

          public java.lang.String getRevision()

      Returns the revision string.
      Returns:
        the revision