Class WekaClusterer

  • All Implemented Interfaces:
    Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, SizeOfHandler, CapabilitiesHandler, Algorithm<ClusteringModel>, Clusterer, Serializable

    public class WekaClusterer
    extends AbstractClusterer
    Wraps around a Weka clusterer.

    -logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel)
        The logging level for outputting errors and debugging output.
        default: WARNING
    -strict-capabilities <boolean> (property: strictCapabilities)
        If enabled, a strict capabilities test is performed; otherwise, it is attempted 
        to adjust the data to fit the algorithm's capabilities.
        default: false
    -clusterer <weka.clusterers.Clusterer> (property: clusterer)
        The clusterer to use.
        default: weka.clusterers.SimpleKMeans -init 0 -max-candidates 100 -periodic-pruning 10000 -min-density 2.0 -t1 -1.25 -t2 -1.0 -N 2 -A \"weka.core.EuclideanDistance -R first-last\" -I 500 -num-slots 1 -S 10
    FracPete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form
    • Field Detail

      • m_Clusterer

        protected weka.clusterers.Clusterer m_Clusterer
        the weka classifier to use.
    • Constructor Detail

      • WekaClusterer

        public WekaClusterer()