Class RepresentativeUncertainClustering.Par

    • Field Detail


        public static final int DEFAULT_ENSEMBLE_DEPTH
        Default number of clusterings to run.
        See Also:
        Constant Field Values

        public static final OptionID CLUSTERDISTANCE_ID
        Distance function to measure the similarity of clusterings.

        public static final OptionID META_ALGORITHM_ID
        Parameter to hand an algorithm for creating the meta-clustering to our instance of RepresentativeUncertainClustering.

        It has to use a metric distance function to work on the sample-clusterings.

      • SAMPLES_ID

        public static final OptionID SAMPLES_ID
        Parameter to specify the amount of clusterings that shall be created and compared.

        public static final OptionID KEEP_SAMPLES_ID
        Flag to keep all samples.
      • RANDOM_ID

        public static final OptionID RANDOM_ID
        Parameter to specify the random generator.
      • ALPHA_ID

        public static final OptionID ALPHA_ID
        Alpha parameter for confidence estimation.
      • metaAlgorithm

        protected ClusteringAlgorithm<?> metaAlgorithm
        Field to store the inner algorithm for meta-clustering
      • samplesAlgorithm

        protected ClusteringAlgorithm<?> samplesAlgorithm
        Field to store the algorithm.
      • numsamples

        protected int numsamples
        Field to store parameter the number of samples.
      • random

        protected RandomFactory random
        Random factory for sampling.
      • alpha

        protected double alpha
        Alpha parameter for confidence.
      • keep

        protected boolean keep
        Keep all samples (not only the representative results).
    • 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
        config - Parameterization
      • make

        public RepresentativeUncertainClustering 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
        a new instance