Package elki.evaluation.clustering.internal

Class DaviesBouldinIndex.Par

  • All Implemented Interfaces:
    elki.utilities.optionhandling.Parameterizer
    Enclosing class:
    DaviesBouldinIndex
    public static class DaviesBouldinIndex.Par
extends java.lang.Object
implements elki.utilities.optionhandling.Parameterizer
    Parameterization class.
    Author:
    Stephan Baier

    • Field Summary

      Fields 
      Modifier and Type Field Description
      private elki.distance.NumberVectorDistance<?> distance
      Distance function to use.
      static elki.utilities.optionhandling.OptionID DISTANCE_ID
      Parameter for choosing the distance function.
      static elki.utilities.optionhandling.OptionID NOISE_ID
      Parameter for the option, how noise should be treated.
      private NoiseHandling noiseOption
      Option, how noise should be treated.
      private double p
      Exponent p for computing the power mean.
      static elki.utilities.optionhandling.OptionID POWER_ID
      Power exponent p.

    • Constructor Summary

      Constructors 
      Constructor Description
      Par()  

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void configure​(elki.utilities.optionhandling.parameterization.Parameterization config)  
      DaviesBouldinIndex make()  

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Field Detail

      • DISTANCE_ID

        public static final elki.utilities.optionhandling.OptionID DISTANCE_ID
        Parameter for choosing the distance function.

      • NOISE_ID

        public static final elki.utilities.optionhandling.OptionID NOISE_ID
        Parameter for the option, how noise should be treated.

      • POWER_ID

        public static final elki.utilities.optionhandling.OptionID POWER_ID
        Power exponent p.

      • distance

        private elki.distance.NumberVectorDistance<?> distance
        Distance function to use.

      • noiseOption

        private NoiseHandling noiseOption
        Option, how noise should be treated.

      • p

        private double p
        Exponent p for computing the power mean.

    • Constructor Detail

      • Par

        public Par()

    • Method Detail

      • configure

        public void configure​(elki.utilities.optionhandling.parameterization.Parameterization config)
        Specified by:
        configure in interface elki.utilities.optionhandling.Parameterizer

      • make

        public DaviesBouldinIndex make()
        Specified by:
        make in interface elki.utilities.optionhandling.Parameterizer