OPTICS

Package

weka.clusterers

Synopsis

Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Joerg Sander: OPTICS: Ordering Points To Identify the Clustering Structure. In: ACM SIGMOD International Conference on Management of Data, 49-60, 1999.

Options

The table below describes the options available for OPTICS.

Option

Description

databaseOutput

The optional output file for the generated database object - can be viewed with the OPTICS Visualizer.
java weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.OPTICS_Visualizer [file.ser]

database_Type

used database

database_distanceType

used distance-type

epsilon

radius of the epsilon-range-queries

minPoints

minimun number of DataObjects required in an epsilon-range-query

showGUI

Defines whether the OPTICS Visualizer is displayed after the clusterer has been built or not.

writeOPTICSresults

if the -F option is set, the results are written to OPTICS_#TimeStamp#.TXT

Capabilities

The table below describes the capabilites of OPTICS.

Capability

Supported

Class

No class

Attributes

Date attributes, Empty nominal attributes, Binary attributes, Nominal attributes, Missing values, Numeric attributes, Unary attributes

Min # of instances

1