BIRCHCluster (weka-dev 3.7.12 API)

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

All Implemented Interfaces:: 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

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.
`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(Random random, Instances format)` Generate all examples of the dataset.
`String`	`generateFinished()` Compiles documentation about the data generation after the generation process
`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.
`String[]`	`getOptions()` Gets the current settings of the datagenerator BIRCHCluster.
`boolean`	`getOrderedFlag()` Gets the ordered flag (option O).
`SelectedTag`	`getPattern()` Gets the pattern type.
`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.
`String`	`globalInfo()` Returns a string describing this data generator.
`String`	`inputOrderTipText()` Returns the tip text for this property
`Enumeration<Option>`	`listOptions()` Returns an enumeration describing the available options.
`static void`	`main(String[] args)` Main method for testing this class.
`String`	`maxInstNumTipText()` Returns the tip text for this property
`String`	`maxRadiusTipText()` Returns the tip text for this property
`String`	`minInstNumTipText()` Returns the tip text for this property
`String`	`minRadiusTipText()` Returns the tip text for this property
`String`	`noiseRateTipText()` Returns the tip text for this property
`String`	`numClustersTipText()` Returns the tip text for this property
`String`	`numCyclesTipText()` Returns the tip text for this property
`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(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 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 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(String[] options)
                throws 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:
    
    Exception - if an option is not supported
  - getOptions
```
public 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 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 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 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 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 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 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 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 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 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 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 Exception
```
    Initializes the format for the dataset produced.
    
    Overrides:
    
    defineDataFormat in class DataGenerator
    
    Returns:
    the output data format
    
    Throws:
    
    Exception - data format could not be defined
    See Also:
    DataGenerator.defaultRelationName()
  - generateExample
```
public Instance generateExample()
                         throws Exception
```
    Generate an example of the dataset.
    
    Specified by:
    
    generateExample in class DataGenerator
    
    Returns:
    the instance generated
    
    Throws:
    
    Exception - if format not defined or generating
    examples one by one is not possible, because voting is chosen
  - generateExamples
```
public Instances generateExamples()
                           throws Exception
```
    Generate all examples of the dataset.
    
    Specified by:
    
    generateExamples in class DataGenerator
    
    Returns:
    the instance generated
    
    Throws:
    
    Exception - if format not defined
  - generateExamples
```
public Instances generateExamples(Random random,
                         Instances format)
                           throws Exception
```
    Generate all examples of the dataset.
    
    Parameters:
    random - the random number generator to use
    format - the dataset format
    
    Returns:
    the instance generated
    
    Throws:
    
    Exception - if format not defined
  - generateFinished
```
public String generateFinished()
                        throws 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:
    
    Exception - no input structure has been defined
  - generateStart
```
public 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 String getRevision()
```
    Returns the revision string.
    
    Specified by:
    
    getRevision in interface RevisionHandler
    
    Returns:
    the revision
  - main
```
public static void main(String[] args)
```
    Main method for testing this class.
    
    Parameters:
    args - should contain arguments for the data producer:

Class BIRCHCluster

Field Summary

Constructor Summary

Method Summary

Methods inherited from class weka.datagenerators.ClusterGenerator

Methods inherited from class weka.datagenerators.DataGenerator

Methods inherited from class java.lang.Object

Field Detail

GRID

SINE

RANDOM

TAGS_PATTERN

ORDERED

RANDOMIZED

TAGS_INPUTORDER

Constructor Detail

BIRCHCluster

Method Detail

globalInfo

getTechnicalInformation

listOptions

setOptions

getOptions

setNumClusters

getNumClusters

numClustersTipText

getMinInstNum

setMinInstNum

minInstNumTipText

getMaxInstNum

setMaxInstNum

maxInstNumTipText

getMinRadius

setMinRadius

minRadiusTipText

getMaxRadius

setMaxRadius

maxRadiusTipText

getPattern

setPattern

patternTipText

getDistMult

setDistMult

distMultTipText

getNumCycles

setNumCycles

numCyclesTipText

getInputOrder

setInputOrder

inputOrderTipText

getOrderedFlag

getNoiseRate

setNoiseRate

noiseRateTipText

getSingleModeFlag

defineDataFormat

generateExample

generateExamples

generateExamples

generateFinished

generateStart

getRevision

main