Serialized Form

Package weka.clusterers
- Class weka.clusterers.AbstractClusterer extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6099962589663877632L
  - Serialized Fields
    - m_Debug
```
boolean m_Debug
```
    - m_DoNotCheckCapabilities
```
boolean m_DoNotCheckCapabilities
```
- Class weka.clusterers.AbstractDensityBasedClusterer extends weka.clusterers.AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  -5950728041704213845L
- Class weka.clusterers.Canopy extends weka.clusterers.RandomizableClusterer implements Serializable
  
  serialVersionUID:
  
  2067574593448223334L
  - Serialized Fields
    - m_canopies
```
weka.core.Instances m_canopies
```
    - m_canopyT2Density
```
java.util.List<E> m_canopyT2Density
```
    - m_canopyCenters
```
java.util.List<E> m_canopyCenters
```
    - m_canopyNumMissingForNumerics
```
java.util.List<E> m_canopyNumMissingForNumerics
```
    - m_clusterCanopies
```
java.util.List<E> m_clusterCanopies
```
    - m_userT2
```
double m_userT2
```
    - m_userT1
```
double m_userT1
```
    - m_t1
```
double m_t1
```
    - m_t2
```
double m_t2
```
    - m_periodicPruningRate
```
int m_periodicPruningRate
```
    - m_minClusterDensity
```
double m_minClusterDensity
```
    - m_maxCanopyCandidates
```
int m_maxCanopyCandidates
```
    - m_didPruneLastTime
```
boolean m_didPruneLastTime
```
    - m_instanceCount
```
int m_instanceCount
```
    - m_numClustersRequested
```
int m_numClustersRequested
```
    - m_missingValuesReplacer
```
weka.filters.Filter m_missingValuesReplacer
```
    - m_dontReplaceMissing
```
boolean m_dontReplaceMissing
```
    - m_distanceFunction
```
weka.core.NormalizableDistance m_distanceFunction
```
    - m_trainingData
```
weka.core.Instances m_trainingData
```
- Class weka.clusterers.CascadeSimpleKMeans extends weka.clusterers.RandomizableClusterer implements Serializable
  
  serialVersionUID:
  
  -227184458402639337L
  - Serialized Fields
    - minNumClusters
```
int minNumClusters
```
    - maxNumClusters
```
int maxNumClusters
```
    - restarts
```
int restarts
```
    - printDebug
```
boolean printDebug
```
    - distanceFunction
```
weka.core.DistanceFunction distanceFunction
```
    - maxIterations
```
int maxIterations
```
    - manuallySelectNumClusters
```
boolean manuallySelectNumClusters
```
    - initializeWithKMeansPlusPlus
```
boolean initializeWithKMeansPlusPlus
```
    - kMeans
```
weka.clusterers.SimpleKMeans kMeans
```
    - meanInstance
```
weka.core.Instance meanInstance
```
    - numInstances
```
int numInstances
```
    - df
```
java.text.DecimalFormat df
```
    - finalBestK
```
int finalBestK
```
    - finalBestSeed
```
int finalBestSeed
```
    - finalMeanCH
```
java.lang.String finalMeanCH
```
- Class weka.clusterers.ClusterEvaluation extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -830188327319128005L
  - Serialized Fields
    - m_Clusterer
```
weka.clusterers.Clusterer m_Clusterer
```
    - m_clusteringResults
```
java.lang.StringBuffer m_clusteringResults
```
    - m_numClusters
```
int m_numClusters
```
    - m_clusterAssignments
```
double[] m_clusterAssignments
```
    - m_logL
```
double m_logL
```
    - m_classToCluster
```
int[] m_classToCluster
```
- Class weka.clusterers.Cobweb extends weka.clusterers.RandomizableClusterer implements Serializable
  
  serialVersionUID:
  
  928406656495092318L
  - Serialized Fields
    - m_acuity
```
double m_acuity
```
    - m_cutoff
```
double m_cutoff
```
    - m_cobwebTree
```
weka.clusterers.Cobweb.CNode m_cobwebTree
```
    - m_numberOfClusters
```
int m_numberOfClusters
```
    - m_numberOfClustersDetermined
```
boolean m_numberOfClustersDetermined
```
    - m_numberSplits
```
int m_numberSplits
```
    - m_numberMerges
```
int m_numberMerges
```
    - m_saveInstances
```
boolean m_saveInstances
```
- Class weka.clusterers.Cobweb.CNode extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3452097436933325631L
  - Serialized Fields
    - m_attStats
```
weka.core.AttributeStats[] m_attStats
```
    - m_numAttributes
```
int m_numAttributes
```
    - m_clusterInstances
```
weka.core.Instances m_clusterInstances
```
    - m_children
```
java.util.ArrayList<E> m_children
```
    - m_totalInstances
```
double m_totalInstances
```
    - m_clusterNum
```
int m_clusterNum
```
- Class weka.clusterers.EM extends weka.clusterers.RandomizableDensityBasedClusterer implements Serializable
  
  serialVersionUID:
  
  8348181483812829475L
  - Serialized Fields
    - m_modelPrev
```
weka.estimators.Estimator[][] m_modelPrev
```
    - m_modelNormalPrev
```
double[][][] m_modelNormalPrev
```
    - m_priorsPrev
```
double[] m_priorsPrev
```
    - m_model
```
weka.estimators.Estimator[][] m_model
```
    - m_modelNormal
```
double[][][] m_modelNormal
```
    - m_minStdDev
```
double m_minStdDev
```
    - m_minStdDevPerAtt
```
double[] m_minStdDevPerAtt
```
    - m_weights
```
double[][] m_weights
```
    - m_priors
```
double[] m_priors
```
    - m_theInstances
```
weka.core.Instances m_theInstances
```
    - m_num_clusters
```
int m_num_clusters
```
    - m_initialNumClusters
```
int m_initialNumClusters
```
    - m_upperBoundNumClustersCV
```
int m_upperBoundNumClustersCV
```
    - m_num_attribs
```
int m_num_attribs
```
    - m_num_instances
```
int m_num_instances
```
    - m_max_iterations
```
int m_max_iterations
```
    - m_minValues
```
double[] m_minValues
```
    - m_maxValues
```
double[] m_maxValues
```
    - m_rr
```
java.util.Random m_rr
```
    - m_verbose
```
boolean m_verbose
```
    - m_replaceMissing
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing
```
    - m_displayModelInOldFormat
```
boolean m_displayModelInOldFormat
```
    - m_executionSlots
```
int m_executionSlots
```
    - m_training
```
boolean m_training
```
    - m_iterationsPerformed
```
int m_iterationsPerformed
```
    - m_minLogLikelihoodImprovementIterating
```
double m_minLogLikelihoodImprovementIterating
```
    - m_minLogLikelihoodImprovementCV
```
double m_minLogLikelihoodImprovementCV
```
    - m_cvFolds
```
int m_cvFolds
```
    - m_NumKMeansRuns
```
int m_NumKMeansRuns
```
- Class weka.clusterers.FarthestFirst extends weka.clusterers.RandomizableClusterer implements Serializable
  
  serialVersionUID:
  
  7499838100631329509L
  - Serialized Fields
    - m_instances
```
weka.core.Instances m_instances
```
    - m_ReplaceMissingFilter
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingFilter
```
    - m_NumClusters
```
int m_NumClusters
```
    - m_ClusterCentroids
```
weka.core.Instances m_ClusterCentroids
```
    - m_Min
```
double[] m_Min
```
    - m_Max
```
double[] m_Max
```
- Class weka.clusterers.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 extends weka.clusterers.AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - m_bDistanceIsBranchLength
```
boolean m_bDistanceIsBranchLength
```
    - m_instances
```
weka.core.Instances m_instances
```
    - m_nNumClusters
```
int m_nNumClusters
```
    - m_DistanceFunction
```
weka.core.DistanceFunction m_DistanceFunction
```
    - m_nLinkType
```
int m_nLinkType
```
    - m_bPrintNewick
```
boolean m_bPrintNewick
```
    - m_clusters
```
weka.clusterers.HierarchicalClusterer.Node[] m_clusters
```
    - m_nClusterNr
```
int[] m_nClusterNr
```
- Class weka.clusterers.MakeDensityBasedClusterer extends weka.clusterers.AbstractDensityBasedClusterer implements Serializable
  
  serialVersionUID:
  
  -5643302427972186631L
  - Serialized Fields
    - m_theInstances
```
weka.core.Instances m_theInstances
```
    - m_priors
```
double[] m_priors
```
    - m_modelNormal
```
double[][][] m_modelNormal
```
    - m_model
```
weka.estimators.DiscreteEstimator[][] m_model
```
    - m_minStdDev
```
double m_minStdDev
```
    - m_wrappedClusterer
```
weka.clusterers.Clusterer m_wrappedClusterer
```
    - m_replaceMissing
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing
```
- Class weka.clusterers.RandomizableClusterer extends weka.clusterers.AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  -4819590778152242745L
  - Serialized Fields
    - m_SeedDefault
```
int m_SeedDefault
```
    - m_Seed
```
int m_Seed
```
- Class weka.clusterers.RandomizableDensityBasedClusterer extends weka.clusterers.AbstractDensityBasedClusterer implements Serializable
  
  serialVersionUID:
  
  -5325270357918932849L
  - Serialized Fields
    - m_SeedDefault
```
int m_SeedDefault
```
    - m_Seed
```
int m_Seed
```
- Class weka.clusterers.RandomizableSingleClustererEnhancer extends weka.clusterers.AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  -644847037106316249L
  - Serialized Fields
    - m_SeedDefault
```
int m_SeedDefault
```
    - m_Seed
```
int m_Seed
```
- Class weka.clusterers.SimpleKMeans extends weka.clusterers.RandomizableClusterer implements Serializable
  
  serialVersionUID:
  
  -3235809600124455376L
  - Serialized Fields
    - m_ReplaceMissingFilter
```
weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingFilter
```
    - m_NumClusters
```
int m_NumClusters
```
    - m_initialStartPoints
```
weka.core.Instances m_initialStartPoints
```
    - m_ClusterCentroids
```
weka.core.Instances m_ClusterCentroids
```
    - m_ClusterStdDevs
```
weka.core.Instances m_ClusterStdDevs
```
    - m_ClusterNominalCounts
```
double[][][] m_ClusterNominalCounts
```
    - m_ClusterMissingCounts
```
double[][] m_ClusterMissingCounts
```
    - m_FullMeansOrMediansOrModes
```
double[] m_FullMeansOrMediansOrModes
```
    - m_FullStdDevs
```
double[] m_FullStdDevs
```
    - m_FullNominalCounts
```
double[][] m_FullNominalCounts
```
    - m_FullMissingCounts
```
double[] m_FullMissingCounts
```
    - m_displayStdDevs
```
boolean m_displayStdDevs
```
    - m_dontReplaceMissing
```
boolean m_dontReplaceMissing
```
    - m_ClusterSizes
```
double[] m_ClusterSizes
```
    - m_MaxIterations
```
int m_MaxIterations
```
    - m_Iterations
```
int m_Iterations
```
    - m_squaredErrors
```
double[] m_squaredErrors
```
    - m_DistanceFunction
```
weka.core.DistanceFunction m_DistanceFunction
```
    - m_PreserveOrder
```
boolean m_PreserveOrder
```
    - m_Assignments
```
int[] m_Assignments
```
    - m_FastDistanceCalc
```
boolean m_FastDistanceCalc
```
    - m_initializationMethod
```
int m_initializationMethod
```
    - m_speedUpDistanceCompWithCanopies
```
boolean m_speedUpDistanceCompWithCanopies
```
    - m_centroidCanopyAssignments
```
java.util.List<E> m_centroidCanopyAssignments
```
    - m_dataPointCanopyAssignments
```
java.util.List<E> m_dataPointCanopyAssignments
```
    - m_canopyClusters
```
weka.clusterers.Canopy m_canopyClusters
```
    - m_maxCanopyCandidates
```
int m_maxCanopyCandidates
```
    - m_periodicPruningRate
```
int m_periodicPruningRate
```
    - m_minClusterDensity
```
double m_minClusterDensity
```
    - m_t2
```
double m_t2
```
    - m_t1
```
double m_t1
```
    - m_executionSlots
```
int m_executionSlots
```
    - m_completed
```
int m_completed
```
    - m_failed
```
int m_failed
```
- Class weka.clusterers.SingleClustererEnhancer extends weka.clusterers.AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  4893928362926428671L
  - Serialized Fields
    - m_Clusterer
```
weka.clusterers.Clusterer m_Clusterer
```

Serialized Form

Package weka.clusterers

Class weka.clusterers.AbstractClusterer extends java.lang.Object implements Serializable

Serialized Fields

m_Debug

m_DoNotCheckCapabilities

Class weka.clusterers.AbstractDensityBasedClusterer extends weka.clusterers.AbstractClusterer implements Serializable

Class weka.clusterers.Canopy extends weka.clusterers.RandomizableClusterer implements Serializable

Serialized Fields

m_canopies

m_canopyT2Density

m_canopyCenters

m_canopyNumMissingForNumerics

m_clusterCanopies

m_userT2

m_userT1

m_t1

m_t2

m_periodicPruningRate

m_minClusterDensity

m_maxCanopyCandidates

m_didPruneLastTime

m_instanceCount

m_numClustersRequested

m_missingValuesReplacer

m_dontReplaceMissing

m_distanceFunction

m_trainingData

Class weka.clusterers.CascadeSimpleKMeans extends weka.clusterers.RandomizableClusterer implements Serializable

Serialized Fields

minNumClusters

maxNumClusters

restarts

printDebug

distanceFunction

maxIterations

manuallySelectNumClusters

initializeWithKMeansPlusPlus

kMeans

meanInstance

numInstances

df

finalBestK

finalBestSeed

finalMeanCH

Class weka.clusterers.ClusterEvaluation extends java.lang.Object implements Serializable

Serialized Fields

m_Clusterer

m_clusteringResults

m_numClusters

m_clusterAssignments

m_logL

m_classToCluster

Class weka.clusterers.Cobweb extends weka.clusterers.RandomizableClusterer implements Serializable

Serialized Fields

m_acuity

m_cutoff

m_cobwebTree

m_numberOfClusters

m_numberOfClustersDetermined

m_numberSplits

m_numberMerges

m_saveInstances

Class weka.clusterers.Cobweb.CNode extends java.lang.Object implements Serializable

Serialized Fields

m_attStats

m_numAttributes

m_clusterInstances

m_children

m_totalInstances

m_clusterNum

Class weka.clusterers.EM extends weka.clusterers.RandomizableDensityBasedClusterer implements Serializable

Serialized Fields

m_modelPrev

m_modelNormalPrev

m_priorsPrev

m_model

m_modelNormal

m_minStdDev

m_minStdDevPerAtt