Package elki.clustering.correlation

Class HiCO.Par

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

    • Field Summary

      Fields 
      Modifier and Type Field Description
      (package private) double alpha
      Alpha parameter
      static OptionID ALPHA_ID
      The threshold for 'strong' eigenvectors: the 'strong' eigenvectors explain a portion of at least alpha of the total variance.
      (package private) double delta
      Delta parameter
      static OptionID DELTA_ID
      Parameter to specify the threshold of a distance between a vector q and a given space that indicates that q adds a new dimension to the space, must be a double equal to or greater than 0.
      protected int k
      Number of neighbors to query.
      static OptionID K_ID
      Optional parameter to specify the number of nearest neighbors considered in the PCA, must be an integer greater than 0.
      (package private) int mu
      Mu parameter
      static OptionID MU_ID
      Parameter to specify the smoothing factor, must be an integer greater than 0.
      protected PCARunner pca
      PCA utility object.

    • 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.
      HiCO 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

      • MU_ID

        public static final OptionID MU_ID
        Parameter to specify the smoothing factor, must be an integer greater than 0. The {link MU_ID-nearest neighbor is used to compute the correlation reachability of an object.

      • K_ID

        public static final OptionID K_ID
        Optional parameter to specify the number of nearest neighbors considered in the PCA, must be an integer greater than 0. If this parameter is not set, k is set to the value of MU_ID.

      • DELTA_ID

        public static final OptionID DELTA_ID
        Parameter to specify the threshold of a distance between a vector q and a given space that indicates that q adds a new dimension to the space, must be a double equal to or greater than 0.

      • ALPHA_ID

        public static final OptionID ALPHA_ID
        The threshold for 'strong' eigenvectors: the 'strong' eigenvectors explain a portion of at least alpha of the total variance.

      • k

        protected int k
        Number of neighbors to query.

      • pca

        protected PCARunner pca
        PCA utility object.

      • mu

        int mu
        Mu parameter

      • alpha

        double alpha
        Alpha parameter

      • delta

        double delta
        Delta parameter

    • 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 HiCO 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