Package weka.clusterers

# Class RandomizableDensityBasedClusterer

java.lang.Object
weka.clusterers.AbstractClusterer
weka.clusterers.AbstractDensityBasedClusterer
weka.clusterers.RandomizableDensityBasedClusterer

All Implemented Interfaces:
  `Serializable`, `Cloneable`, `Clusterer`, `DensityBasedClusterer`, `CapabilitiesHandler`, `CapabilitiesIgnorer`, `CommandlineRunnable`, `OptionHandler`, `Randomizable`, `RevisionHandler`

Direct Known Subclasses:
  `EM`

public abstract class RandomizableDensityBasedClusterer extends AbstractDensityBasedClusterer implements OptionHandler, Randomizable
Abstract utility class for handling settings common to randomizable clusterers.

Version:
  $Revision: 10203 $
Author:
  FracPete (fracpete at waikato dot ac dot nz)
See Also:
  - Serialized Form

- ## Constructor Summary

  Constructors
  Constructor
  Description
  `RandomizableDensityBasedClusterer()`

- ## Method Summary

  Modifier and Type
  Method
  Description
  `String[]`
  `getOptions()`
  Gets the current settings of the classifier.
  `int`
  `getSeed()`
  Gets the seed for the random number generations
  `Enumeration<Option>`
  `listOptions()`
  Returns an enumeration describing the available options.
  `String`
  `seedTipText()`
  Returns the tip text for this property
  `void`
  `setOptions(String[] options)`
  Parses a given list of options.
  `void`
  `setSeed(int value)`
  Set the seed for random number generation.

  ### Methods inherited from class weka.clusterers.AbstractDensityBasedClusterer

  `clusterPriors, distributionForInstance, logDensityForInstance, logDensityPerClusterForInstance, logJointDensitiesForInstance, makeCopies`

  ### Methods inherited from class weka.clusterers.AbstractClusterer

  `buildClusterer, clusterInstance, debugTipText, doNotCheckCapabilitiesTipText, forName, getCapabilities, getDebug, getDoNotCheckCapabilities, getRevision, makeCopies, makeCopy, numberOfClusters, postExecution, preExecution, run, runClusterer, setDebug, setDoNotCheckCapabilities`

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

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

  ### Methods inherited from interface weka.clusterers.Clusterer

  `buildClusterer, clusterInstance, getCapabilities, numberOfClusters`

- ## Constructor Details

  - ### RandomizableDensityBasedClusterer

    public RandomizableDensityBasedClusterer()

- ## Method Details

  - ### listOptions

    public Enumeration<Option> listOptions()
    Returns an enumeration describing the available options.
    Specified by:
      `listOptions` in interface `OptionHandler`
    Overrides:
      `listOptions` in class `AbstractClusterer`
    Returns:
      an enumeration of all the available options.

  - ### setOptions

    public void setOptions(String[] options) throws Exception
    Parses a given list of options. Valid options are:

    Specified by:
      `setOptions` in interface `OptionHandler`
    Overrides:
      `setOptions` in class `AbstractClusterer`
    Parameters:
      `options` - the list of options as an array of strings
    Throws:
      `Exception` - if an option is not supported

  - ### getOptions

    public String[] getOptions()
    Gets the current settings of the classifier.
    Specified by:
      `getOptions` in interface `OptionHandler`
    Overrides:
      `getOptions` in class `AbstractClusterer`
    Returns:
      an array of strings suitable for passing to setOptions

  - ### seedTipText

    public String seedTipText()
    Returns the tip text for this property
    Returns:
      tip text for this property suitable for displaying in the explorer/experimenter gui

  - ### setSeed

    public void setSeed(int value)
    Set the seed for random number generation.
    Specified by:
      `setSeed` in interface `Randomizable`
    Parameters:
      `value` - the seed to use

  - ### getSeed

    public int getSeed()
    Gets the seed for the random number generations
    Specified by:
      `getSeed` in interface `Randomizable`
    Returns:
      the seed for the random number generation