Serialized Form

  • Package weka.clusterers

    • Class weka.clusterers.AbstractClusterer

      class AbstractClusterer extends Object implements Serializable
      serialVersionUID:
      -6099962589663877632L
      • Serialized Fields

        • m_Debug
          boolean m_Debug
        • m_DoNotCheckCapabilities
          boolean m_DoNotCheckCapabilities
    • Class weka.clusterers.AbstractDensityBasedClusterer

      class AbstractDensityBasedClusterer extends weka.clusterers.AbstractClusterer implements Serializable
      serialVersionUID:
      -5950728041704213845L
    • Class weka.clusterers.Canopy

      class Canopy extends weka.clusterers.RandomizableClusterer implements Serializable
      serialVersionUID:
      2067574593448223334L
      • Serialized Fields

        • m_canopies
          weka.core.Instances m_canopies
        • m_canopyCenters
          List<double[][]> m_canopyCenters
        • m_canopyNumMissingForNumerics
          List<double[]> m_canopyNumMissingForNumerics
        • m_canopyT2Density
          List<double[]> m_canopyT2Density
        • m_clusterCanopies
          List<long[]> m_clusterCanopies
        • m_didPruneLastTime
          boolean m_didPruneLastTime
        • m_distanceFunction
          weka.core.NormalizableDistance m_distanceFunction
        • m_dontReplaceMissing
          boolean m_dontReplaceMissing
        • m_instanceCount
          int m_instanceCount
        • m_maxCanopyCandidates
          int m_maxCanopyCandidates
        • m_minClusterDensity
          double m_minClusterDensity
        • m_missingValuesReplacer
          weka.filters.Filter m_missingValuesReplacer
        • m_numClustersRequested
          int m_numClustersRequested
        • m_periodicPruningRate
          int m_periodicPruningRate
        • m_t1
          double m_t1
        • m_t2
          double m_t2
        • m_trainingData
          weka.core.Instances m_trainingData
        • m_userT1
          double m_userT1
        • m_userT2
          double m_userT2
    • Class weka.clusterers.ClassSpecificClusterer

      class ClassSpecificClusterer extends weka.clusterers.SingleClustererEnhancer implements Serializable
      serialVersionUID:
      -7492315438320617468L
      • Serialized Fields

        • classesOnly
          boolean classesOnly
        • clusterers
          weka.clusterers.Clusterer[] clusterers
        • noClass
          boolean noClass
        • noInstances
          boolean noInstances
        • numberOfClasses
          int numberOfClasses
        • numberOfClusters
          int numberOfClusters
        • removeFilter
          weka.filters.unsupervised.attribute.Remove removeFilter
    • Class weka.clusterers.ClassSpecificClustererClassCombined

      class ClassSpecificClustererClassCombined extends ClassSpecificClusterer implements Serializable
      serialVersionUID:
      -3221556640429200690L
    • Class weka.clusterers.ClusterEvaluation

      class ClusterEvaluation extends Object implements Serializable
      serialVersionUID:
      -830188327319128005L
      • Serialized Fields

        • m_classToCluster
          int[] m_classToCluster
        • m_clusterAssignments
          double[] m_clusterAssignments
        • m_Clusterer
          weka.clusterers.Clusterer m_Clusterer
        • m_clusteringResults
          StringBuffer m_clusteringResults
        • m_logL
          double m_logL
        • m_numClusters
          int m_numClusters
    • Class weka.clusterers.Cobweb

      class Cobweb extends weka.clusterers.RandomizableClusterer implements Serializable
      serialVersionUID:
      928406656495092318L
      • Serialized Fields

        • m_acuity
          double m_acuity
        • m_cobwebTree
          weka.clusterers.Cobweb.CNode m_cobwebTree
        • m_cutoff
          double m_cutoff
        • m_numberMerges
          int m_numberMerges
        • m_numberOfClusters
          int m_numberOfClusters
        • m_numberOfClustersDetermined
          boolean m_numberOfClustersDetermined
        • m_numberSplits
          int m_numberSplits
        • m_saveInstances
          boolean m_saveInstances
    • Class weka.clusterers.Cobweb.CNode

      class CNode extends Object implements Serializable
      serialVersionUID:
      3452097436933325631L
      • Serialized Fields

        • m_attStats
          weka.core.AttributeStats[] m_attStats
        • m_children
          ArrayList<weka.clusterers.Cobweb.CNode> m_children
        • m_clusterInstances
          weka.core.Instances m_clusterInstances
        • m_clusterNum
          int m_clusterNum
        • m_numAttributes
          int m_numAttributes
        • m_totalInstances
          double m_totalInstances
    • Class weka.clusterers.EM

      class EM extends weka.clusterers.RandomizableDensityBasedClusterer implements Serializable
      serialVersionUID:
      8348181483812829475L
      • Serialized Fields

        • m_cvFolds
          int m_cvFolds
        • m_displayModelInOldFormat
          boolean m_displayModelInOldFormat
        • m_executionSlots
          int m_executionSlots
        • m_initialNumClusters
          int m_initialNumClusters
        • m_iterationsPerformed
          int m_iterationsPerformed
        • m_max_iterations
          int m_max_iterations
        • m_maxValues
          double[] m_maxValues
        • m_minLogLikelihoodImprovementCV
          double m_minLogLikelihoodImprovementCV
        • m_minLogLikelihoodImprovementIterating
          double m_minLogLikelihoodImprovementIterating
        • m_minStdDev
          double m_minStdDev
        • m_minStdDevPerAtt
          double[] m_minStdDevPerAtt
        • m_minValues
          double[] m_minValues
        • m_model
          weka.estimators.Estimator[][] m_model
        • m_modelNormal
          double[][][] m_modelNormal
        • m_modelNormalPrev
          double[][][] m_modelNormalPrev
        • m_modelPrev
          weka.estimators.Estimator[][] m_modelPrev
        • m_num_attribs
          int m_num_attribs
        • m_num_clusters
          int m_num_clusters
        • m_num_instances
          int m_num_instances
        • m_NumKMeansRuns
          int m_NumKMeansRuns
        • m_priors
          double[] m_priors
        • m_priorsPrev
          double[] m_priorsPrev
        • m_replaceMissing
          weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing
        • m_rr
          Random m_rr
        • m_theInstances
          weka.core.Instances m_theInstances
        • m_training
          boolean m_training
        • m_upperBoundNumClustersCV
          int m_upperBoundNumClustersCV
        • m_verbose
          boolean m_verbose
        • m_weights
          double[][] m_weights
    • Class weka.clusterers.FarthestFirst

      class FarthestFirst extends weka.clusterers.RandomizableClusterer implements Serializable
      serialVersionUID:
      7499838100631329509L
      • Serialized Fields

        • m_ClusterCentroids
          weka.core.Instances m_ClusterCentroids
        • m_instances
          weka.core.Instances m_instances
        • m_Max
          double[] m_Max
        • m_Min
          double[] m_Min
        • m_NumClusters
          int m_NumClusters
        • m_ReplaceMissingFilter
          weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingFilter
    • Class weka.clusterers.FilteredClusterer

      class FilteredClusterer extends weka.clusterers.SingleClustererEnhancer implements Serializable
      serialVersionUID:
      1420005943163412943L
      • Serialized Fields

        • m_Filter
          weka.filters.Filter m_Filter
        • m_FilteredInstances
          weka.core.Instances m_FilteredInstances
    • Class weka.clusterers.HierarchicalClusterer

      class HierarchicalClusterer extends weka.clusterers.AbstractClusterer implements Serializable
      serialVersionUID:
      1L
      • Serialized Fields

        • m_bDistanceIsBranchLength
          boolean m_bDistanceIsBranchLength
        • m_bPrintNewick
          boolean m_bPrintNewick
        • m_clusters
          weka.clusterers.HierarchicalClusterer.Node[] m_clusters
        • m_DistanceFunction
          weka.core.DistanceFunction m_DistanceFunction
        • m_instances
          weka.core.Instances m_instances
        • m_nClusterNr
          int[] m_nClusterNr
        • m_nLinkType
          int m_nLinkType
        • m_nNumClusters
          int m_nNumClusters
    • Class weka.clusterers.MakeDensityBasedClusterer

      class MakeDensityBasedClusterer extends weka.clusterers.AbstractDensityBasedClusterer implements Serializable
      serialVersionUID:
      -5643302427972186631L
      • Serialized Fields

        • m_minStdDev
          double m_minStdDev
        • m_model
          weka.estimators.DiscreteEstimator[][] m_model
        • m_modelNormal
          double[][][] m_modelNormal
        • m_priors
          double[] m_priors
        • m_replaceMissing
          weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing
        • m_theInstances
          weka.core.Instances m_theInstances
        • m_wrappedClusterer
          weka.clusterers.Clusterer m_wrappedClusterer
    • Class weka.clusterers.RandomizableClusterer

      class RandomizableClusterer extends weka.clusterers.AbstractClusterer implements Serializable
      serialVersionUID:
      -4819590778152242745L
      • Serialized Fields

        • m_Seed
          int m_Seed
        • m_SeedDefault
          int m_SeedDefault
    • Class weka.clusterers.RandomizableDensityBasedClusterer

      class RandomizableDensityBasedClusterer extends weka.clusterers.AbstractDensityBasedClusterer implements Serializable
      serialVersionUID:
      -5325270357918932849L
      • Serialized Fields

        • m_Seed
          int m_Seed
        • m_SeedDefault
          int m_SeedDefault
    • Class weka.clusterers.RandomizableSingleClustererEnhancer

      class RandomizableSingleClustererEnhancer extends weka.clusterers.AbstractClusterer implements Serializable
      serialVersionUID:
      -644847037106316249L
      • Serialized Fields

        • m_Seed
          int m_Seed
        • m_SeedDefault
          int m_SeedDefault
    • Class weka.clusterers.SimpleKMeans

      class SimpleKMeans extends weka.clusterers.RandomizableClusterer implements Serializable
      serialVersionUID:
      -3235809600124455376L
      • Serialized Fields

        • m_Assignments
          int[] m_Assignments
        • m_canopyClusters
          weka.clusterers.Canopy m_canopyClusters
        • m_centroidCanopyAssignments
          List<long[]> m_centroidCanopyAssignments
        • m_ClusterCentroids
          weka.core.Instances m_ClusterCentroids
        • m_ClusterMissingCounts
          double[][] m_ClusterMissingCounts
        • m_ClusterNominalCounts
          double[][][] m_ClusterNominalCounts
        • m_ClusterSizes
          double[] m_ClusterSizes
        • m_ClusterStdDevs
          weka.core.Instances m_ClusterStdDevs
        • m_completed
          int m_completed
        • m_dataPointCanopyAssignments
          List<long[]> m_dataPointCanopyAssignments
        • m_displayStdDevs
          boolean m_displayStdDevs
        • m_DistanceFunction
          weka.core.DistanceFunction m_DistanceFunction
        • m_dontReplaceMissing
          boolean m_dontReplaceMissing
        • m_executionSlots
          int m_executionSlots
        • m_failed
          int m_failed
        • m_FastDistanceCalc
          boolean m_FastDistanceCalc
        • m_FullMeansOrMediansOrModes
          double[] m_FullMeansOrMediansOrModes
        • m_FullMissingCounts
          double[] m_FullMissingCounts
        • m_FullNominalCounts
          double[][] m_FullNominalCounts
        • m_FullStdDevs
          double[] m_FullStdDevs
        • m_initializationMethod
          int m_initializationMethod
        • m_initialStartPoints
          weka.core.Instances m_initialStartPoints
        • m_Iterations
          int m_Iterations
        • m_maxCanopyCandidates
          int m_maxCanopyCandidates
        • m_MaxIterations
          int m_MaxIterations
        • m_minClusterDensity
          double m_minClusterDensity
        • m_NumClusters
          int m_NumClusters
        • m_periodicPruningRate
          int m_periodicPruningRate
        • m_PreserveOrder
          boolean m_PreserveOrder
        • m_ReplaceMissingFilter
          weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingFilter
        • m_speedUpDistanceCompWithCanopies
          boolean m_speedUpDistanceCompWithCanopies
        • m_squaredErrors
          double[] m_squaredErrors
        • m_t1
          double m_t1
        • m_t2
          double m_t2
    • Class weka.clusterers.SingleClustererEnhancer

      class SingleClustererEnhancer extends weka.clusterers.AbstractClusterer implements Serializable
      serialVersionUID:
      4893928362926428671L
      • Serialized Fields

        • m_Clusterer
          weka.clusterers.Clusterer m_Clusterer
    • Class weka.clusterers.XMeans

      class XMeans extends weka.clusterers.RandomizableClusterer implements Serializable
      serialVersionUID:
      -7941793078404132616L
      • Serialized Fields

        • m_Bic
          double m_Bic
        • m_BinValue
          double m_BinValue
        • m_ClusterAssignments
          int[] m_ClusterAssignments
        • m_ClusterCenters
          weka.core.Instances m_ClusterCenters
        • m_CurrDebugFlag
          boolean m_CurrDebugFlag
        • m_CutOffFactor
          double m_CutOffFactor
        • m_DebugLevel
          int m_DebugLevel
        • m_DebugVectors
          weka.core.Instances m_DebugVectors
        • m_DebugVectorsFile
          File m_DebugVectorsFile
        • m_DebugVectorsIndex
          int m_DebugVectorsIndex
        • m_DebugVectorsInput
          Reader m_DebugVectorsInput
        • m_DistanceF
          weka.core.DistanceFunction m_DistanceF
        • m_InputCenterFile
          File m_InputCenterFile
        • m_Instances
          weka.core.Instances m_Instances
        • m_IterationCount
          int m_IterationCount
        • m_KDTree
          weka.core.neighboursearch.KDTree m_KDTree
        • m_KMeansStopped
          int m_KMeansStopped
        • m_MaxIterations
          int m_MaxIterations
        • m_MaxKMeans
          int m_MaxKMeans
        • m_MaxKMeansForChildren
          int m_MaxKMeansForChildren
        • m_MaxNumClusters
          int m_MaxNumClusters
        • m_MinNumClusters
          int m_MinNumClusters
        • m_Mle
          double[] m_Mle
        • m_Model
          weka.core.Instances m_Model
        • m_NumClusters
          int m_NumClusters
        • m_NumSplits
          int m_NumSplits
        • m_NumSplitsDone
          int m_NumSplitsDone
        • m_NumSplitsStillDone
          int m_NumSplitsStillDone
        • m_OutputCenterFile
          File m_OutputCenterFile
        • m_ReplaceMissingFilter
          weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingFilter
        • m_UseKDTree
          boolean m_UseKDTree
    • Class weka.clusterers.XMeansFixed

      class XMeansFixed extends weka.clusterers.XMeans implements Serializable
      serialVersionUID:
      8623299605516980769L
      • Serialized Fields

        • m_UniqueInstancesNumber
          int m_UniqueInstancesNumber
          Contains the number of unique instances
    • Class weka.clusterers.XmeansWithKmeansPP

      class XmeansWithKmeansPP extends weka.clusterers.XMeans implements Serializable
      serialVersionUID:
      -6645825577412294656L
      • Serialized Fields

        • m_UniqueInstancesNumber
          int m_UniqueInstancesNumber
          Contains the number of unique instances