Package elki.clustering.correlation

Class ERiC.Par

  • All Implemented Interfaces:
    Parameterizer
    Enclosing class:
    ERiC
    public static class ERiC.Par
extends java.lang.Object
implements Parameterizer
    Parameterization class.
    Author:
    Erich Schubert

    • Field Summary

      Fields 
      Modifier and Type Field Description
      static OptionID DELTA_ID
      Parameter to specify the threshold for approximate linear dependency: the strong eigenvectors of q are approximately linear dependent from the strong eigenvectors p if the following condition holds for all strong eigenvectors q_i of q (lambda_q < lambda_p): q_i' * M^check_p * q_i <= delta^2, must be a double equal to or greater than 0.
      static OptionID K_ID
      Size for the kNN neighborhood used in the PCA step of ERiC.
      protected ERiC.Settings settings
      The settings to use.
      static OptionID TAU_ID
      Parameter to specify the threshold for the maximum distance between two approximately linear dependent subspaces of two objects p and q (lambda_q < lambda_p) before considering them as parallel, must be a double equal to or greater than 0.

    • Constructor Summary

      Constructors 
      Constructor Description
      Par()  

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void configure​(Parameterization config)
      Configure the class.
      ERiC make()
      Make an instance after successful configuration.

      • Methods inherited from class java.lang.Object

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

    • Field Detail

      • K_ID

        public static final OptionID K_ID
        Size for the kNN neighborhood used in the PCA step of ERiC.

      • DELTA_ID

        public static final OptionID DELTA_ID
        Parameter to specify the threshold for approximate linear dependency: the strong eigenvectors of q are approximately linear dependent from the strong eigenvectors p if the following condition holds for all strong eigenvectors q_i of q (lambda_q < lambda_p): q_i' * M^check_p * q_i <= delta^2, must be a double equal to or greater than 0.

      • TAU_ID

        public static final OptionID TAU_ID
        Parameter to specify the threshold for the maximum distance between two approximately linear dependent subspaces of two objects p and q (lambda_q < lambda_p) before considering them as parallel, must be a double equal to or greater than 0.

      • settings

        protected ERiC.Settings settings
        The settings to use.

    • Constructor Detail

      • Par

        public Par()

    • Method Detail

      • configure

        public void configure​(Parameterization config)
        Description copied from interface: Parameterizer
        Configure the class.

        Note: the status is collected by the parameterization object, so that multiple errors may arise and be reported in one run.

        Specified by:
        configure in interface Parameterizer
        Parameters:
        config - Parameterization

      • make

        public ERiC make()
        Description copied from interface: Parameterizer
        Make an instance after successful configuration.

        Note: your class should return the exact type, only this very broad interface should use Object as return type.

        Specified by:
        make in interface Parameterizer
        Returns:
        a new instance