Class OPTICS

Method Details

• getCapabilities

  public Capabilities getCapabilities()

  Returns default capabilities of the clusterer.

  Specified by:

  getCapabilities in interface CapabilitiesHandler

  Specified by:

  getCapabilities in interface Clusterer

  Overrides:

  getCapabilities in class AbstractClusterer

  Returns:

  the capabilities of this clusterer

  See Also:

  • Capabilities

• buildClusterer

  public void buildClusterer(Instances instances) throws Exception

  Generate Clustering via OPTICS

  Specified by:

  buildClusterer in interface Clusterer

  Specified by:

  buildClusterer in class AbstractClusterer

  Parameters:

  instances - The instances that need to be clustered

  Throws:

  Exception - If clustering was not successful

• clusterInstance

  public int clusterInstance(Instance instance) throws Exception

  Classifies a given instance.

  Specified by:

  clusterInstance in interface Clusterer

  Overrides:

  clusterInstance in class AbstractClusterer

  Parameters:

  instance - The instance to be assigned to a cluster

  Returns:

  int The number of the assigned cluster as an integer

  Throws:

  Exception - If instance could not be clustered successfully

• numberOfClusters

  public int numberOfClusters() throws Exception

  Returns the number of clusters.

  Specified by:

  numberOfClusters in interface Clusterer

  Specified by:

  numberOfClusters in class AbstractClusterer

  Returns:

  int The number of clusters generated for a training dataset.

  Throws:

  Exception - If number of clusters could not be returned successfully

• listOptions

  public Enumeration listOptions()

  Returns an enumeration of all the available options.

  Specified by:

  listOptions in interface OptionHandler

  Returns:

  Enumeration An enumeration of all available options.

• setOptions

  public void setOptions(String[] options) throws Exception

  Sets the OptionHandler's options using the given list. All options will be set (or reset) during this call (i.e. incremental setting of options is not possible).

  Valid options are:

   -E <double>
    epsilon (default = 0.9)

   -M <int>
    minPoints (default = 6)

   -I <String>
    index (database) used for OPTICS (default = weka.clusterers.forOPTICSAndDBScan.Databases.SequentialDatabase)

   -D <String>
    distance-type (default = weka.clusterers.forOPTICSAndDBScan.DataObjects.EuclideanDataObject)

   -F
    write results to OPTICS_#TimeStamp#.TXT - File

   -no-gui
    suppress the display of the GUI after building the clusterer

   -db-output <file>
    The file to save the generated database to. If a directory
    is provided, the database doesn't get saved.
    The generated file can be viewed with the OPTICS Visualizer:
      java weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.OPTICS_Visualizer [file.ser]
    (default: .)

  Specified by:

  setOptions in interface OptionHandler

  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 option settings for the OptionHandler.

  Specified by:

  getOptions in interface OptionHandler

  Returns:

  String[] The list of current option settings as an array of strings

• databaseForName

  public Database databaseForName(String database_Type, Instances instances)

  Returns a new Class-Instance of the specified database

  Parameters:

  database_Type - String of the specified database

  instances - Instances that were delivered from WEKA

  Returns:

  Database New constructed Database

• dataObjectForName

  public DataObject dataObjectForName(String database_distanceType, Instance instance, String key, Database database)

  Returns a new Class-Instance of the specified database

  Parameters:

  database_distanceType - String of the specified distance-type

  instance - The original instance that needs to hold by this DataObject

  key - Key for this DataObject

  database - Link to the database

  Returns:

  DataObject New constructed DataObject

• setMinPoints

  public void setMinPoints(int minPoints)

  Sets a new value for minPoints

  Parameters:

  minPoints - MinPoints

• setEpsilon

  public void setEpsilon(double epsilon)

  Sets a new value for epsilon

  Parameters:

  epsilon - Epsilon

• getEpsilon

  public double getEpsilon()

  Returns the value of epsilon

  Returns:

  double Epsilon

• getMinPoints

  public int getMinPoints()

  Returns the value of minPoints

  Returns:

  int MinPoints

• getDatabase_distanceType

  public String getDatabase_distanceType()

  Returns the distance-type

  Returns:

  String Distance-type

• getDatabase_Type

  public String getDatabase_Type()

  Returns the type of the used index (database)

  Returns:

  String Index-type

• setDatabase_distanceType

  public void setDatabase_distanceType(String database_distanceType)

  Sets a new distance-type

  Parameters:

  database_distanceType - The new distance-type

• setDatabase_Type

  public void setDatabase_Type(String database_Type)

  Sets a new database-type

  Parameters:

  database_Type - The new database-type

• getWriteOPTICSresults

  public boolean getWriteOPTICSresults()

  Returns the flag for writing actions

  Returns:

  writeOPTICSresults (flag)

• setWriteOPTICSresults

  public void setWriteOPTICSresults(boolean writeOPTICSresults)

  Sets the flag for writing actions

  Parameters:

  writeOPTICSresults - Results are written to a file if the flag is set

• getShowGUI

  public boolean getShowGUI()

  Returns the flag for showing the OPTICS visualizer GUI.

  Returns:

  true if the GUI is displayed

• setShowGUI

  public void setShowGUI(boolean value)

  Sets the flag for displaying the GUI.

  Parameters:

  value - if true, then the OPTICS visualizer GUI will be displayed after building the clusterer

• getDatabaseOutput

  public File getDatabaseOutput()

  Returns the file to save the database to - if directory, database is not saved.

  Returns:

  the file to save the database to a directory if saving is ignored

• setDatabaseOutput

  public void setDatabaseOutput(File value)

  Sets the the file to save the generated database to. If a directory is provided, the datbase doesn't get saved.

  Parameters:

  value - the file to save the database to or a directory if saving is to be ignored

• getResultVector

  public FastVector getResultVector()

  Returns the resultVector

  Returns:

  resultVector

• epsilonTipText

  public String epsilonTipText()

  Returns the tip text for this property

  Returns:

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

• minPointsTipText

  public String minPointsTipText()

  Returns the tip text for this property

  Returns:

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

• database_TypeTipText

  public String database_TypeTipText()

  Returns the tip text for this property

  Returns:

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

• database_distanceTypeTipText

  public String database_distanceTypeTipText()

  Returns the tip text for this property

  Returns:

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

• writeOPTICSresultsTipText

  public String writeOPTICSresultsTipText()

  Returns the tip text for this property

  Returns:

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

• showGUITipText

  public String showGUITipText()

  Returns the tip text for this property.

  Returns:

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

• databaseOutputTipText

  public String databaseOutputTipText()

  Returns the tip text for this property.

  Returns:

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

• globalInfo

  public String globalInfo()

  Returns a string describing this DataMining-Algorithm

  Returns:

  String Information for the gui-explorer

• 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

• getSERObject

  public SERObject getSERObject()

  Returns the internal database

  Returns:

  the internal database

• toString

  public String toString()

  Returns a description of the clusterer

  Overrides:

  toString in class Object

  Returns:

  the clusterer as string

• getRevision

  public String getRevision()

  Returns the revision string.

  Specified by:

  getRevision in interface RevisionHandler

  Overrides:

  getRevision in class AbstractClusterer

  Returns:

  the revision

• main

  public static void main(String[] args)

  Main Method for testing OPTICS

  Parameters:

  args - Valid parameters are: 'E' epsilon (default = 0.9); 'M' minPoints (default = 6); 'I' index-type (default = weka.clusterers.forOPTICSAndDBScan.Databases.SequentialDatabase); 'D' distance-type (default = weka.clusterers.forOPTICSAndDBScan.DataObjects.EuclideanDataObject); 'F' write results to OPTICS_#TimeStamp#.TXT - File