Serialized Form


Package weka.clusterers

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

serialVersionUID: -6099962589663877632L

Class weka.clusterers.AbstractDensityBasedClusterer extends AbstractClusterer implements Serializable

serialVersionUID: -5950728041704213845L

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

serialVersionUID: -830188327319128005L

Serialized Fields

m_Clusterer

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 RandomizableClusterer implements Serializable

serialVersionUID: 928406656495092318L

Serialized Fields

m_acuity

double m_acuity

m_cutoff

double m_cutoff

m_cobwebTree

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

AttributeStats[] m_attStats

m_numAttributes

int m_numAttributes

m_clusterInstances

Instances m_clusterInstances

m_children

FastVector<E> m_children

m_totalInstances

double m_totalInstances

m_clusterNum

int m_clusterNum

Class weka.clusterers.DBSCAN extends AbstractClusterer implements Serializable

serialVersionUID: -1666498248451219728L

Serialized Fields

epsilon

double epsilon
Specifies the radius for a range-query


minPoints

int minPoints
Specifies the density (the range-query must contain at least minPoints DataObjects)


replaceMissingValues_Filter

ReplaceMissingValues replaceMissingValues_Filter
Replace missing values in training instances


numberOfGeneratedClusters

int numberOfGeneratedClusters
Holds the number of clusters generated


database_distanceType

java.lang.String database_distanceType
Holds the distance-type that is used (default = weka.clusterers.forOPTICSAndDBScan.DataObjects.EuclideanDataObject)


database_Type

java.lang.String database_Type
Holds the type of the used database (default = weka.clusterers.forOPTICSAndDBScan.Databases.SequentialDatabase)


database

Database database
The database that is used for DBSCAN


clusterID

int clusterID
Holds the current clusterID


processed_InstanceID

int processed_InstanceID
Counter for the processed instances


elapsedTime

double elapsedTime
Holds the time-value (seconds) for the duration of the clustering-process

Class weka.clusterers.EM extends RandomizableDensityBasedClusterer implements Serializable

serialVersionUID: 8348181483812829475L

Serialized Fields

m_model

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_loglikely

double m_loglikely

m_theInstances

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

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

Class weka.clusterers.EMMultiCore extends RandomizableDensityBasedClusterer implements Serializable

serialVersionUID: 8348181483812829475L

Serialized Fields

m_model

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_loglikely

double m_loglikely

m_theInstances

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

ReplaceMissingValues m_replaceMissing

m_displayModelInOldFormat

boolean m_displayModelInOldFormat

m_executionSlots

int m_executionSlots

m_training

boolean m_training

m_iterationsPerformed

int m_iterationsPerformed

Class weka.clusterers.FarthestFirst extends RandomizableClusterer implements Serializable

serialVersionUID: 7499838100631329509L

Serialized Fields

m_instances

Instances m_instances

m_ReplaceMissingFilter

ReplaceMissingValues m_ReplaceMissingFilter

m_NumClusters

int m_NumClusters

m_ClusterCentroids

Instances m_ClusterCentroids

m_Min

double[] m_Min

m_Max

double[] m_Max

Class weka.clusterers.FilteredClusterer extends SingleClustererEnhancer implements Serializable

serialVersionUID: 1420005943163412943L

Serialized Fields

m_Filter

Filter m_Filter

m_FilteredInstances

Instances m_FilteredInstances

Class weka.clusterers.HierarchicalClusterer extends AbstractClusterer implements Serializable

serialVersionUID: 1L

Serialized Fields

m_bDebug

boolean m_bDebug

m_bDistanceIsBranchLength

boolean m_bDistanceIsBranchLength

m_instances

Instances m_instances

m_nNumClusters

int m_nNumClusters

m_DistanceFunction

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 AbstractDensityBasedClusterer implements Serializable

serialVersionUID: -5643302427972186631L

Serialized Fields

m_theInstances

Instances m_theInstances

m_priors

double[] m_priors

m_modelNormal

double[][][] m_modelNormal

m_model

DiscreteEstimator[][] m_model

m_minStdDev

double m_minStdDev

m_wrappedClusterer

Clusterer m_wrappedClusterer

m_replaceMissing

ReplaceMissingValues m_replaceMissing

Class weka.clusterers.OPTICS extends AbstractClusterer implements Serializable

serialVersionUID: 274552680222105221L

Serialized Fields

epsilon

double epsilon
Specifies the radius for a range-query


minPoints

int minPoints
Specifies the density (the range-query must contain at least minPoints DataObjects)


replaceMissingValues_Filter

ReplaceMissingValues replaceMissingValues_Filter
Replace missing values in training instances


numberOfGeneratedClusters

int numberOfGeneratedClusters
Holds the number of clusters generated


database_distanceType

java.lang.String database_distanceType
Holds the distance-type that is used (default = weka.clusterers.forOPTICSAndDBScan.DataObjects.EuclideanDataObject)


database_Type

java.lang.String database_Type
Holds the type of the used database (default = weka.clusterers.forOPTICSAndDBScan.Databases.SequentialDatabase)


database

Database database
The database that is used for OPTICS


elapsedTime

double elapsedTime
Holds the time-value (seconds) for the duration of the clustering-process


writeOPTICSresults

boolean writeOPTICSresults
Flag that indicates if the results are written to a file or not


resultVector

FastVector<E> resultVector
Holds the ClusterOrder (dataObjects with their r_dist and c_dist) for the GUI


showGUI

boolean showGUI
whether to display the GUI after building the clusterer or not.


databaseOutput

java.io.File databaseOutput
the file to save the generated database object to.

Class weka.clusterers.RandomizableClusterer extends AbstractClusterer implements Serializable

serialVersionUID: -4819590778152242745L

Serialized Fields

m_SeedDefault

int m_SeedDefault

m_Seed

int m_Seed

Class weka.clusterers.RandomizableDensityBasedClusterer extends AbstractDensityBasedClusterer implements Serializable

serialVersionUID: -5325270357918932849L

Serialized Fields

m_SeedDefault

int m_SeedDefault

m_Seed

int m_Seed

Class weka.clusterers.RandomizableSingleClustererEnhancer extends AbstractClusterer implements Serializable

serialVersionUID: -644847037106316249L

Serialized Fields

m_SeedDefault

int m_SeedDefault

m_Seed

int m_Seed

Class weka.clusterers.SimpleKMeans extends RandomizableClusterer implements Serializable

serialVersionUID: -3235809600124455376L

Serialized Fields

m_ReplaceMissingFilter

ReplaceMissingValues m_ReplaceMissingFilter

m_NumClusters

int m_NumClusters

m_ClusterCentroids

Instances m_ClusterCentroids

m_ClusterStdDevs

Instances m_ClusterStdDevs

m_ClusterNominalCounts

int[][][] m_ClusterNominalCounts

m_ClusterMissingCounts

int[][] m_ClusterMissingCounts

m_FullMeansOrMediansOrModes

double[] m_FullMeansOrMediansOrModes

m_FullStdDevs

double[] m_FullStdDevs

m_FullNominalCounts

int[][] m_FullNominalCounts

m_FullMissingCounts

int[] m_FullMissingCounts

m_displayStdDevs

boolean m_displayStdDevs

m_dontReplaceMissing

boolean m_dontReplaceMissing

m_ClusterSizes

int[] m_ClusterSizes

m_MaxIterations

int m_MaxIterations

m_Iterations

int m_Iterations

m_squaredErrors

double[] m_squaredErrors

m_DistanceFunction

DistanceFunction m_DistanceFunction

m_PreserveOrder

boolean m_PreserveOrder

m_Assignments

int[] m_Assignments

m_FastDistanceCalc

boolean m_FastDistanceCalc

m_initializeWithKMeansPlusPlus

boolean m_initializeWithKMeansPlusPlus

m_executionSlots

int m_executionSlots

m_completed

int m_completed

m_failed

int m_failed

Class weka.clusterers.SimpleKMeansMultiCore extends RandomizableClusterer implements Serializable

serialVersionUID: -3235809600124455376L

Serialized Fields

m_ReplaceMissingFilter

ReplaceMissingValues m_ReplaceMissingFilter

m_NumClusters

int m_NumClusters

m_ClusterCentroids

Instances m_ClusterCentroids

m_ClusterStdDevs

Instances m_ClusterStdDevs

m_ClusterNominalCounts

int[][][] m_ClusterNominalCounts

m_ClusterMissingCounts

int[][] m_ClusterMissingCounts

m_FullMeansOrMediansOrModes

double[] m_FullMeansOrMediansOrModes

m_FullStdDevs

double[] m_FullStdDevs

m_FullNominalCounts

int[][] m_FullNominalCounts

m_FullMissingCounts

int[] m_FullMissingCounts

m_displayStdDevs

boolean m_displayStdDevs

m_dontReplaceMissing

boolean m_dontReplaceMissing

m_ClusterSizes

int[] m_ClusterSizes

m_MaxIterations

int m_MaxIterations

m_Iterations

int m_Iterations

m_squaredErrors

double[] m_squaredErrors

m_DistanceFunction

DistanceFunction m_DistanceFunction

m_PreserveOrder

boolean m_PreserveOrder

m_Assignments

int[] m_Assignments

m_FastDistanceCalc

boolean m_FastDistanceCalc

m_initializeWithKMeansPlusPlus

boolean m_initializeWithKMeansPlusPlus

m_executionSlots

int m_executionSlots

m_completed

int m_completed

m_failed

int m_failed

Class weka.clusterers.SingleClustererEnhancer extends AbstractClusterer implements Serializable

serialVersionUID: 4893928362926428671L

Serialized Fields

m_Clusterer

Clusterer m_Clusterer

Package weka.clusterers.forOPTICSAndDBScan.Databases

Class weka.clusterers.forOPTICSAndDBScan.Databases.SequentialDatabase extends java.lang.Object implements Serializable

serialVersionUID: 787245523118665778L

Serialized Fields

treeMap

java.util.TreeMap<K,V> treeMap
Internal, sorted Treemap for storing all the DataObjects


instances

Instances instances
Holds the original instances delivered from WEKA


attributeMinValues

double[] attributeMinValues
Holds the minimum value for each attribute


attributeMaxValues

double[] attributeMaxValues
Holds the maximum value for each attribute


Package weka.clusterers.forOPTICSAndDBScan.DataObjects

Class weka.clusterers.forOPTICSAndDBScan.DataObjects.EuclideanDataObject extends java.lang.Object implements Serializable

serialVersionUID: -4408119914898291075L

Serialized Fields

instance

Instance instance
Holds the original instance


key

java.lang.String key
Holds the (unique) key that is associated with this DataObject


clusterID

int clusterID
Holds the ID of the cluster, to which this DataObject is assigned


processed

boolean processed
Holds the status for this DataObject (true, if it has been processed, else false)


c_dist

double c_dist
Holds the coreDistance for this DataObject


r_dist

double r_dist
Holds the reachabilityDistance for this DataObject


database

Database database
Holds the database, that is the keeper of this DataObject

Class weka.clusterers.forOPTICSAndDBScan.DataObjects.ManhattanDataObject extends java.lang.Object implements Serializable

serialVersionUID: -3417720553766544582L

Serialized Fields

instance

Instance instance
Holds the original instance


key

java.lang.String key
Holds the (unique) key that is associated with this DataObject


clusterID

int clusterID
Holds the ID of the cluster, to which this DataObject is assigned


processed

boolean processed
Holds the status for this DataObject (true, if it has been processed, else false)


c_dist

double c_dist
Holds the coreDistance for this DataObject


r_dist

double r_dist
Holds the reachabilityDistance for this DataObject


database

Database database
Holds the database, that is the keeper of this DataObject


Package weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI

Class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.GraphPanel extends javax.swing.JComponent implements Serializable

serialVersionUID: 7917937528738361470L

Serialized Fields

resultVector

FastVector<E> resultVector
Holds the clustering results


verticalAdjustment

int verticalAdjustment
Holds the value that is multiplied with the original values of core- and reachability distances in order to get better graphical views


coreDistanceColor

java.awt.Color coreDistanceColor
Specifies the color for displaying core-distances


reachabilityDistanceColor

java.awt.Color reachabilityDistanceColor
Specifies the color for displaying reachability-distances


widthSlider

int widthSlider
Specifies the width for displaying the distances


showCoreDistances

boolean showCoreDistances
Holds the flag for showCoreDistances


showReachabilityDistances

boolean showReachabilityDistances
Holds the flag for showrRechabilityDistances


recentIndex

int recentIndex
Holds the index of the last toolTip

Class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.ResultVectorTableModel extends javax.swing.table.AbstractTableModel implements Serializable

serialVersionUID: -7732711470435549210L

Serialized Fields

resultVector

FastVector<E> resultVector
Holds the ClusterOrder (dataObjects with their r_dist and c_dist) for the GUI

Class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.SERObject extends java.lang.Object implements Serializable

serialVersionUID: -6022057864970639151L

Serialized Fields

resultVector

FastVector<E> resultVector

databaseSize

int databaseSize

numberOfAttributes

int numberOfAttributes

epsilon

double epsilon

minPoints

int minPoints

opticsOutputs

boolean opticsOutputs

database_Type

java.lang.String database_Type

database_distanceType

java.lang.String database_distanceType

numberOfGeneratedClusters

int numberOfGeneratedClusters

elapsedTime

java.lang.String elapsedTime