weka.datagenerators.clusterers

## Class BIRCHCluster

- java.lang.Object
- - weka.datagenerators.DataGenerator
  - - weka.datagenerators.ClusterGenerator
    - - weka.datagenerators.clusterers.BIRCHCluster

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

      public class BIRCHCluster
      extends ClusterGenerator
      implements TechnicalInformationHandler

  Cluster data generator designed for the BIRCH System
  Dataset is generated with instances in K clusters.
  Instances are 2-d data points.
  Each cluster is characterized by the number of data points in itits radius and its center. The location of the cluster centers isdetermined by the pattern parameter. Three patterns are currentlysupported grid, sine and random.
  For more information refer to:
  Tian Zhang, Raghu Ramakrishnan, Miron Livny: BIRCH: An Efficient Data Clustering Method for Very Large Databases. In: ACM SIGMOD International Conference on Management of Data, 103-114, 1996.

  BibTeX:

       @inproceedings{Zhang1996,
          author = {Tian Zhang and Raghu Ramakrishnan and Miron Livny},
          booktitle = {ACM SIGMOD International Conference on Management of Data},
          pages = {103-114},
          publisher = {ACM Press},
          title = {BIRCH: An Efficient Data Clustering Method for Very Large Databases},
          year = {1996}
       }

  Valid options are:

       -h
        Prints this help.

       -o <file>
        The name of the output file, otherwise the generated data is
        printed to stdout.

       -r <name>
        The name of the relation.

       -d
        Whether to print debug informations.

       -S
        The seed for random function (default 1)

       -a <num>
        The number of attributes (default 10).

       -c
        Class Flag, if set, the cluster is listed in extra attribute.

       -b <range>
        The indices for boolean attributes.

       -m <range>
        The indices for nominal attributes.

       -k <num>
        The number of clusters (default 4)

       -G
        Set pattern to grid (default is random).
        This flag cannot be used at the same time as flag I.
        The pattern is random, if neither flag G nor flag I is set.

       -I
        Set pattern to sine (default is random).
        This flag cannot be used at the same time as flag I.
        The pattern is random, if neither flag G nor flag I is set.

       -N <num>..<num>
        The range of number of instances per cluster (default 1..50).
        Lower number must be between 0 and 2500,
        upper number must be between 50 and 2500.

       -R <num>..<num>
        The range of radius per cluster (default 0.1..1.4142135623730951).
        Lower number must be between 0 and SQRT(2),
        upper number must be between SQRT(2) and SQRT(32).

       -M <num>
        The distance multiplier (default 4.0).

       -C <num>
        The number of cycles (default 4).

       -O
        Flag for input order is ORDERED. If flag is not set then
        input order is RANDOMIZED. RANDOMIZED is currently not
        implemented, therefore is the input order always ORDERED.

       -P <num>
        The noise rate in percent (default 0.0).
        Can be between 0% and 30%. (Remark: The original
        algorithm only allows noise up to 10%.)

  Version:
    $Revision: 10203 $
  Author:
    Gabi Schmidberger (gabi@cs.waikato.ac.nz), FracPete (fracpete at waikato dot ac dot nz)
  See Also:
    Serialized Form

- - ### Field Summary

    Fields
    Modifier and Type | Field and Description
    --- | ---
    `static int` | `GRID` Constant set for choice of pattern.
    `static int` | `ORDERED` Constant set for input order (option O)
    `static int` | `RANDOM` Constant set for choice of pattern.
    `static int` | `RANDOMIZED` Constant set for input order (default)
    `static int` | `SINE` Constant set for choice of pattern.
    `static Tag[]` | `TAGS_INPUTORDER` the input order tags
    `static Tag[]` | `TAGS_PATTERN` the pattern tags

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `BIRCHCluster()` initializes the generator with default values

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `Instances` | `defineDataFormat()` Initializes the format for the dataset produced.
    `java.lang.String` | `distMultTipText()` Returns the tip text for this property
    `Instance` | `generateExample()` Generate an example of the dataset.
    `Instances` | `generateExamples()` Generate all examples of the dataset.
    `Instances` | `generateExamples(java.util.Random random, Instances format)` Generate all examples of the dataset.
    `java.lang.String` | `generateFinished()` Compiles documentation about the data generation after the generation process
    `java.lang.String` | `generateStart()` Compiles documentation about the data generation before the generation process
    `double` | `getDistMult()` Gets the distance multiplier.
    `SelectedTag` | `getInputOrder()` Gets the input order.
    `int` | `getMaxInstNum()` Gets the upper boundary for instances per cluster.
    `double` | `getMaxRadius()` Gets the upper boundary for the radiuses of the clusters.
    `int` | `getMinInstNum()` Gets the lower boundary for instances per cluster.
    `double` | `getMinRadius()` Gets the lower boundary for the radiuses of the clusters.
    `double` | `getNoiseRate()` Gets the percentage of noise set.
    `int` | `getNumClusters()` Gets the number of clusters the dataset should have.
    `int` | `getNumCycles()` Gets the number of cycles.
    `java.lang.String[]` | `getOptions()` Gets the current settings of the datagenerator BIRCHCluster.
    `boolean` | `getOrderedFlag()` Gets the ordered flag (option O).
    `SelectedTag` | `getPattern()` Gets the pattern type.
    `java.lang.String` | `getRevision()` Returns the revision string.
    `boolean` | `getSingleModeFlag()` Gets the single mode flag.
    `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 data generator.
    `java.lang.String` | `inputOrderTipText()` Returns the tip text for this property
    `java.util.Enumeration<Option>` | `listOptions()` Returns an enumeration describing the available options.
    `static void` | `main(java.lang.String[] args)` Main method for testing this class.
    `java.lang.String` | `maxInstNumTipText()` Returns the tip text for this property
    `java.lang.String` | `maxRadiusTipText()` Returns the tip text for this property
    `java.lang.String` | `minInstNumTipText()` Returns the tip text for this property
    `java.lang.String` | `minRadiusTipText()` Returns the tip text for this property
    `java.lang.String` | `noiseRateTipText()` Returns the tip text for this property
    `java.lang.String` | `numClustersTipText()` Returns the tip text for this property
    `java.lang.String` | `numCyclesTipText()` Returns the tip text for this property
    `java.lang.String` | `patternTipText()` Returns the tip text for this property
    `void` | `setDistMult(double newDistMult)` Sets the distance multiplier.
    `void` | `setInputOrder(SelectedTag value)` Sets the input order.
    `void` | `setMaxInstNum(int newMaxInstNum)` Sets the upper boundary for instances per cluster.
    `void` | `setMaxRadius(double newMaxRadius)` Sets the upper boundary for the radiuses of the clusters.
    `void` | `setMinInstNum(int newMinInstNum)` Sets the lower boundary for instances per cluster.
    `void` | `setMinRadius(double newMinRadius)` Sets the lower boundary for the radiuses of the clusters.
    `void` | `setNoiseRate(double newNoiseRate)` Sets the percentage of noise set.
    `void` | `setNumClusters(int numClusters)` Sets the number of clusters the dataset should have.
    `void` | `setNumCycles(int newNumCycles)` Sets the the number of cycles.
    `void` | `setOptions(java.lang.String[] options)` Parses a list of options for this object.
    `void` | `setPattern(SelectedTag value)` Sets the pattern type.

    - ### Methods inherited from class weka.datagenerators.ClusterGenerator

      `booleanColsTipText, classFlagTipText, getBooleanCols, getClassFlag, getNominalCols, getNumAttributes, nominalColsTipText, numAttributesTipText, setBooleanCols, setBooleanIndices, setClassFlag, setNominalCols, setNominalIndices, setNumAttributes`

    - ### Methods inherited from class weka.datagenerators.DataGenerator

      `debugTipText, defaultOutput, enumToVector, formatTipText, getDatasetFormat, getDebug, getNumExamplesAct, getOutput, getRandom, getRelationName, getSeed, makeData, outputTipText, randomTipText, relationNameTipText, runDataGenerator, seedTipText, setDatasetFormat, setDebug, setOutput, setRandom, setRelationName, setSeed`

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

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

- - ### Field Detail

    - #### GRID

          public static final int GRID

      Constant set for choice of pattern. (option G)
      See Also:
        Constant Field Values

    - #### SINE

          public static final int SINE

      Constant set for choice of pattern. (option I)
      See Also:
        Constant Field Values

    - #### RANDOM

          public static final int RANDOM

      Constant set for choice of pattern. (default)
      See Also:
        Constant Field Values

    - #### TAGS_PATTERN

          public static final Tag[] TAGS_PATTERN

      the pattern tags

    - #### ORDERED

          public static final int ORDERED

      Constant set for input order (option O)
      See Also:
        Constant Field Values

    - #### RANDOMIZED

          public static final int RANDOMIZED

      Constant set for input order (default)
      See Also:
        Constant Field Values

    - #### TAGS_INPUTORDER

          public static final Tag[] TAGS_INPUTORDER

      the input order tags

  - ### Constructor Detail

    - #### BIRCHCluster

          public BIRCHCluster()

      initializes the generator with default values

  - ### Method Detail

    - #### globalInfo

          public java.lang.String globalInfo()

      Returns a string describing this data generator.
      Returns:
        a description of the data generator suitable 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

    - #### listOptions

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

      Returns an enumeration describing the available options.
      Specified by:
        `listOptions` in interface `OptionHandler`
      Overrides:
        `listOptions` in class `ClusterGenerator`
      Returns:
        an enumeration of all the available options

    - #### setOptions

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

      Parses a list of options for this object.

      Valid options are:

           -h
            Prints this help.

           -o <file>
            The name of the output file, otherwise the generated data is
            printed to stdout.

           -r <name>
            The name of the relation.

           -d
            Whether to print debug informations.

           -S
            The seed for random function (default 1)

           -a <num>
            The number of attributes (default 10).

           -c
            Class Flag, if set, the cluster is listed in extra attribute.

           -b <range>
            The indices for boolean attributes.

           -m <range>
            The indices for nominal attributes.

           -k <num>
            The number of clusters (default 4)

           -G
            Set pattern to grid (default is random).
            This flag cannot be used at the same time as flag I.
            The pattern is random, if neither flag G nor flag I is set.

           -I
            Set pattern to sine (default is random).
            This flag cannot be used at the same time as flag I.
            The pattern is random, if neither flag G nor flag I is set.

           -N <num>..<num>
            The range of number of instances per cluster (default 1..50).
            Lower number must be between 0 and 2500,
            upper number must be between 50 and 2500.

           -R <num>..<num>
            The range of radius per cluster (default 0.1..1.4142135623730951).
            Lower number must be between 0 and SQRT(2),
            upper number must be between SQRT(2) and SQRT(32).

           -M <num>
            The distance multiplier (default 4.0).

           -C <num>
            The number of cycles (default 4).

           -O
            Flag for input order is ORDERED. If flag is not set then
            input order is RANDOMIZED. RANDOMIZED is currently not
            implemented, therefore is the input order always ORDERED.

           -P <num>
            The noise rate in percent (default 0.0).
            Can be between 0% and 30%. (Remark: The original
            algorithm only allows noise up to 10%.)

      Specified by:
        `setOptions` in interface `OptionHandler`
      Overrides:
        `setOptions` in class `ClusterGenerator`
      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 of the datagenerator BIRCHCluster.
      Specified by:
        `getOptions` in interface `OptionHandler`
      Overrides:
        `getOptions` in class `ClusterGenerator`
      Returns:
        an array of strings suitable for passing to setOptions
      See Also:
        `DataGenerator.removeBlacklist(String[])`

    - #### setNumClusters

          public void setNumClusters(int numClusters)

      Sets the number of clusters the dataset should have.
      Parameters:
        `numClusters` - the new number of clusters

    - #### getNumClusters

          public int getNumClusters()

      Gets the number of clusters the dataset should have.
      Returns:
        the number of clusters the dataset should have

    - #### numClustersTipText

          public java.lang.String numClustersTipText()

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

    - #### getMinInstNum

          public int getMinInstNum()

      Gets the lower boundary for instances per cluster.
      Returns:
        the the lower boundary for instances per cluster

    - #### setMinInstNum

          public void setMinInstNum(int newMinInstNum)

      Sets the lower boundary for instances per cluster.
      Parameters:
        `newMinInstNum` - new lower boundary for instances per cluster

    - #### minInstNumTipText

          public java.lang.String minInstNumTipText()

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

    - #### getMaxInstNum

          public int getMaxInstNum()

      Gets the upper boundary for instances per cluster.
      Returns:
        the upper boundary for instances per cluster

    - #### setMaxInstNum

          public void setMaxInstNum(int newMaxInstNum)

      Sets the upper boundary for instances per cluster.
      Parameters:
        `newMaxInstNum` - new upper boundary for instances per cluster

    - #### maxInstNumTipText

          public java.lang.String maxInstNumTipText()

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

    - #### getMinRadius

          public double getMinRadius()

      Gets the lower boundary for the radiuses of the clusters.
      Returns:
        the lower boundary for the radiuses of the clusters

    - #### setMinRadius

          public void setMinRadius(double newMinRadius)

      Sets the lower boundary for the radiuses of the clusters.
      Parameters:
        `newMinRadius` - new lower boundary for the radiuses of the clusters

    - #### minRadiusTipText

          public java.lang.String minRadiusTipText()

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

    - #### getMaxRadius

          public double getMaxRadius()

      Gets the upper boundary for the radiuses of the clusters.
      Returns:
        the upper boundary for the radiuses of the clusters

    - #### setMaxRadius

          public void setMaxRadius(double newMaxRadius)

      Sets the upper boundary for the radiuses of the clusters.
      Parameters:
        `newMaxRadius` - new upper boundary for the radiuses of the clusters

    - #### maxRadiusTipText

          public java.lang.String maxRadiusTipText()

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

    - #### getPattern

          public SelectedTag getPattern()

      Gets the pattern type.
      Returns:
        the current pattern type

    - #### setPattern

          public void setPattern(SelectedTag value)

      Sets the pattern type.
      Parameters:
        `value` - new pattern type

    - #### patternTipText

          public java.lang.String patternTipText()

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

    - #### getDistMult

          public double getDistMult()

      Gets the distance multiplier.
      Returns:
        the distance multiplier

    - #### setDistMult

          public void setDistMult(double newDistMult)

      Sets the distance multiplier.
      Parameters:
        `newDistMult` - new distance multiplier

    - #### distMultTipText

          public java.lang.String distMultTipText()

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

    - #### getNumCycles

          public int getNumCycles()

      Gets the number of cycles.
      Returns:
        the number of cycles

    - #### setNumCycles

          public void setNumCycles(int newNumCycles)

      Sets the the number of cycles.
      Parameters:
        `newNumCycles` - new number of cycles

    - #### numCyclesTipText

          public java.lang.String numCyclesTipText()

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

    - #### getInputOrder

          public SelectedTag getInputOrder()

      Gets the input order.
      Returns:
        the current input order

    - #### setInputOrder

          public void setInputOrder(SelectedTag value)

      Sets the input order.
      Parameters:
        `value` - new input order

    - #### inputOrderTipText

          public java.lang.String inputOrderTipText()

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

    - #### getOrderedFlag

          public boolean getOrderedFlag()

      Gets the ordered flag (option O).
      Returns:
        true if ordered flag is set

    - #### getNoiseRate

          public double getNoiseRate()

      Gets the percentage of noise set.
      Returns:
        the percentage of noise set

    - #### setNoiseRate

          public void setNoiseRate(double newNoiseRate)

      Sets the percentage of noise set.
      Parameters:
        `newNoiseRate` - new percentage of noise

    - #### noiseRateTipText

          public java.lang.String noiseRateTipText()

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

    - #### getSingleModeFlag

          public boolean getSingleModeFlag()

      Gets the single mode flag.
      Specified by:
        `getSingleModeFlag` in class `DataGenerator`
      Returns:
        true if methode generateExample can be used.

    - #### defineDataFormat

          public Instances defineDataFormat()
                                     throws java.lang.Exception

      Initializes the format for the dataset produced.
      Overrides:
        `defineDataFormat` in class `DataGenerator`
      Returns:
        the output data format
      Throws:
        `java.lang.Exception` - data format could not be defined
      See Also:
        `DataGenerator.defaultRelationName()`

    - #### generateExample

          public Instance generateExample()
                                   throws java.lang.Exception

      Generate an example of the dataset.
      Specified by:
        `generateExample` in class `DataGenerator`
      Returns:
        the instance generated
      Throws:
        `java.lang.Exception` - if format not defined or generating
        examples one by one is not possible, because voting is chosen

    - #### generateExamples

          public Instances generateExamples()
                                     throws java.lang.Exception

      Generate all examples of the dataset.
      Specified by:
        `generateExamples` in class `DataGenerator`
      Returns:
        the instance generated
      Throws:
        `java.lang.Exception` - if format not defined

    - #### generateExamples

          public Instances generateExamples(java.util.Random random,
                                   Instances format)
                                     throws java.lang.Exception

      Generate all examples of the dataset.
      Parameters:
        `random` - the random number generator to use
        `format` - the dataset format
      Returns:
        the instance generated
      Throws:
        `java.lang.Exception` - if format not defined

    - #### generateFinished

          public java.lang.String generateFinished()
                                            throws java.lang.Exception

      Compiles documentation about the data generation after the generation process
      Specified by:
        `generateFinished` in class `DataGenerator`
      Returns:
        string with additional information about generated dataset
      Throws:
        `java.lang.Exception` - no input structure has been defined

    - #### generateStart

          public java.lang.String generateStart()

      Compiles documentation about the data generation before the generation process
      Specified by:
        `generateStart` in class `DataGenerator`
      Returns:
        string with additional information

    - #### getRevision

          public java.lang.String getRevision()

      Returns the revision string.
      Specified by:
        `getRevision` in interface `RevisionHandler`
      Returns:
        the revision

    - #### main

          public static void main(java.lang.String[] args)

      Main method for testing this class.
      Parameters:
        `args` - should contain arguments for the data producer: