Package elki.clustering.em

Class EM.Par<O,​M extends MeanModel>

    • Field Summary

      Fields 
      Modifier and Type Field Description
      protected double delta
      Stopping threshold
      static OptionID DELTA_ID
      Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < em.delta, must be a double equal to or greater than 0.
      protected int k
      Number of clusters.
      static OptionID K_ID
      Parameter to specify the number of clusters to find.
      protected int maxiter
      Maximum number of iterations.
      static OptionID MAXITER_ID
      Parameter to specify the maximum number of iterations.
      protected EMClusterModelFactory<O,​M> mfactory
      Cluster model factory.
      protected int miniter
      Minimum number of iterations.
      static OptionID MINITER_ID
      Parameter to specify a minimum number of iterations.
      static OptionID MODEL_ID
      Parameter to specify the EM cluster models to use.
      (package private) double prior
      Prior to enable MAP estimation (use 0 for MLE)
      static OptionID PRIOR_ID
      Parameter to specify the MAP prior
      (package private) boolean soft
      Retain soft assignments?
      static OptionID SOFT_ID
      Parameter to specify the saving of soft assignments

    • 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.
      EM<O,​M> 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
        Parameter to specify the number of clusters to find.

      • DELTA_ID

        public static final OptionID DELTA_ID
        Parameter to specify the termination criterion for maximization of E(M): E(M) - E(M') < em.delta, must be a double equal to or greater than 0.

      • MODEL_ID

        public static final OptionID MODEL_ID
        Parameter to specify the EM cluster models to use.

      • MINITER_ID

        public static final OptionID MINITER_ID
        Parameter to specify a minimum number of iterations.

      • MAXITER_ID

        public static final OptionID MAXITER_ID
        Parameter to specify the maximum number of iterations.

      • PRIOR_ID

        public static final OptionID PRIOR_ID
        Parameter to specify the MAP prior

      • SOFT_ID

        public static final OptionID SOFT_ID
        Parameter to specify the saving of soft assignments

      • k

        protected int k
        Number of clusters.

      • delta

        protected double delta
        Stopping threshold

      • miniter

        protected int miniter
        Minimum number of iterations.

      • maxiter

        protected int maxiter
        Maximum number of iterations.

      • prior

        double prior
        Prior to enable MAP estimation (use 0 for MLE)

      • soft

        boolean soft
        Retain soft assignments?

    • 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 EM<O,​M> 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