Hierarchy For All Packages

Package Hierarchies:

libsvm, net.sf.javaml.classification, net.sf.javaml.classification.evaluation, net.sf.javaml.classification.meta, net.sf.javaml.classification.tree, net.sf.javaml.clustering, net.sf.javaml.clustering.evaluation, net.sf.javaml.clustering.mcl, net.sf.javaml.core, net.sf.javaml.core.exception, net.sf.javaml.core.kdtree, net.sf.javaml.distance, net.sf.javaml.distance.dtw, net.sf.javaml.distance.fastdtw, net.sf.javaml.distance.fastdtw.dtw, net.sf.javaml.distance.fastdtw.lang, net.sf.javaml.distance.fastdtw.matrix, net.sf.javaml.distance.fastdtw.timeseries, net.sf.javaml.distance.fastdtw.util, net.sf.javaml.featureselection, net.sf.javaml.featureselection.ensemble, net.sf.javaml.featureselection.ranking, net.sf.javaml.featureselection.scoring, net.sf.javaml.featureselection.subset, net.sf.javaml.filter, net.sf.javaml.filter.discretize, net.sf.javaml.filter.instance, net.sf.javaml.filter.missingvalue, net.sf.javaml.filter.normalize, net.sf.javaml.matrix, net.sf.javaml.tools, net.sf.javaml.tools.data, net.sf.javaml.tools.sampling, net.sf.javaml.tools.weka, net.sf.javaml.utils, tutorials.classification, tutorials.clustering, tutorials.core, tutorials.featureselection, tutorials.tools

Class Hierarchy

• java.lang.Object
  • net.sf.javaml.classification.AbstractClassifier (implements net.sf.javaml.classification.Classifier)
    • net.sf.javaml.classification.AbstractMeanClassifier
      • net.sf.javaml.classification.MeanFeatureVotingClassifier
      • net.sf.javaml.classification.NearestMeanClassifier
    • net.sf.javaml.classification.meta.Bagging
    • net.sf.javaml.classification.KDtreeKNN
    • net.sf.javaml.classification.KNearestNeighbors
    • libsvm.LibSVM
      • libsvm.SelfOptimizingLinearLibSVM
    • net.sf.javaml.classification.meta.SimpleBagging
    • net.sf.javaml.classification.SOM
    • net.sf.javaml.classification.ZeroR
  • java.util.AbstractCollection<E> (implements java.util.Collection<E>)
    • java.util.AbstractList<E> (implements java.util.List<E>)
      • java.util.ArrayList<E> (implements java.lang.Cloneable, java.util.List<E>, java.util.RandomAccess, java.io.Serializable)
        • net.sf.javaml.clustering.mcl.SparseMatrix
      • java.util.Vector<E> (implements java.lang.Cloneable, java.util.List<E>, java.util.RandomAccess, java.io.Serializable)
        • net.sf.javaml.core.DefaultDataset (implements net.sf.javaml.core.Dataset)
  • net.sf.javaml.distance.AbstractCorrelation (implements net.sf.javaml.distance.DistanceMeasure)
    • net.sf.javaml.distance.PearsonCorrelationCoefficient
    • net.sf.javaml.distance.SpearmanRankCorrelation
  • net.sf.javaml.distance.AbstractDistance (implements net.sf.javaml.distance.DistanceMeasure)
    • net.sf.javaml.distance.fastdtw.Abstraction
    • net.sf.javaml.distance.AngularDistance
    • net.sf.javaml.distance.fastdtw.Band
    • net.sf.javaml.distance.ChebychevDistance
    • net.sf.javaml.distance.ConsistencyIndex
    • net.sf.javaml.distance.CosineDistance
    • net.sf.javaml.distance.fastdtw.FastDTW
    • net.sf.javaml.distance.JaccardIndexDistance
    • net.sf.javaml.distance.MahalanobisDistance
    • net.sf.javaml.distance.ManhattanDistance
    • net.sf.javaml.distance.NormDistance
      • net.sf.javaml.distance.EuclideanDistance
        • net.sf.javaml.distance.NormalizedEuclideanDistance
      • net.sf.javaml.distance.MinkowskiDistance
    • net.sf.javaml.distance.RBFKernelDistance
    • net.sf.javaml.distance.SpearmanFootruleDistance
  • net.sf.javaml.filter.AbstractFilter (implements net.sf.javaml.filter.DatasetFilter, net.sf.javaml.filter.InstanceFilter)
    • net.sf.javaml.filter.ClassReplaceFilter
    • net.sf.javaml.filter.discretize.EqualWidthBinning
    • net.sf.javaml.filter.normalize.InstanceNormalizeMidrange
    • net.sf.javaml.filter.normalize.NormalizeMean
    • net.sf.javaml.filter.normalize.NormalizeMeanIQR135
    • net.sf.javaml.filter.normalize.NormalizeMidrange
    • net.sf.javaml.filter.RemoveAttributes
    • net.sf.javaml.filter.missingvalue.ReplaceWithValue
    • net.sf.javaml.filter.RetainAttributes
    • net.sf.javaml.filter.UnsetClassFilter
  • net.sf.javaml.core.AbstractInstance (implements net.sf.javaml.core.Instance)
    • net.sf.javaml.core.DenseInstance (implements net.sf.javaml.core.Instance)
    • net.sf.javaml.core.SparseInstance (implements net.sf.javaml.core.Instance)
  • java.util.AbstractMap<K,V> (implements java.util.Map<K,V>)
    • java.util.HashMap<K,V> (implements java.lang.Cloneable, java.util.Map<K,V>, java.io.Serializable)
      • net.sf.javaml.clustering.mcl.SparseVector
  • net.sf.javaml.distance.AbstractSimilarity (implements net.sf.javaml.distance.DistanceMeasure)
    • net.sf.javaml.distance.CosineSimilarity
    • net.sf.javaml.distance.dtw.DTWSimilarity
    • net.sf.javaml.distance.JaccardIndexSimilarity
    • net.sf.javaml.distance.MaxProductSimilarity
    • net.sf.javaml.distance.NormalizedEuclideanSimilarity
    • net.sf.javaml.distance.RBFKernel
  • net.sf.javaml.utils.ActiveSetsOptimization
  • net.sf.javaml.clustering.evaluation.AICScore (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • net.sf.javaml.clustering.AQBC (implements net.sf.javaml.clustering.Clusterer)
  • net.sf.javaml.tools.data.ARFFHandler
  • net.sf.javaml.distance.fastdtw.util.Arrays
  • net.sf.javaml.utils.ArrayUtils
  • net.sf.javaml.clustering.evaluation.BICScore (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • net.sf.javaml.distance.CachedDistance (implements net.sf.javaml.distance.DistanceMeasure)
  • net.sf.javaml.filter.instance.CeilValueFilter (implements net.sf.javaml.filter.InstanceFilter)
  • net.sf.javaml.clustering.evaluation.CIndex (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • net.sf.javaml.filter.ClassRemoveFilter (implements net.sf.javaml.filter.DatasetFilter)
  • net.sf.javaml.filter.ClassRetainFilter (implements net.sf.javaml.filter.DatasetFilter)
  • net.sf.javaml.clustering.Cobweb (implements net.sf.javaml.clustering.Clusterer)
  • net.sf.javaml.distance.fastdtw.matrix.ColMajorCell
  • net.sf.javaml.core.Complex
  • net.sf.javaml.utils.ContingencyTables
  • net.sf.javaml.classification.evaluation.CrossValidation
  • net.sf.javaml.tools.DatasetTools
  • net.sf.javaml.clustering.DensityBasedSpatialClustering (implements net.sf.javaml.clustering.Clusterer)
  • net.sf.javaml.clustering.mcl.DoubleFormat
  • net.sf.javaml.distance.fastdtw.dtw.DTW
  • net.sf.javaml.classification.evaluation.EvaluateDataset
  • net.sf.javaml.clustering.mcl.ExpDouble
  • net.sf.javaml.clustering.FarthestFirst (implements net.sf.javaml.clustering.Clusterer)
  • net.sf.javaml.distance.fastdtw.dtw.FastDTW
  • net.sf.javaml.tools.data.FileHandler
  • net.sf.javaml.filter.instance.FloorValueFilter (implements net.sf.javaml.filter.InstanceFilter)
  • net.sf.javaml.tools.weka.FromWekaUtils
  • net.sf.javaml.featureselection.scoring.GainRatio (implements net.sf.javaml.featureselection.FeatureScoring)
  • net.sf.javaml.clustering.evaluation.Gamma (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • net.sf.javaml.utils.GammaFunction
  • net.sf.javaml.clustering.evaluation.GPlus (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • net.sf.javaml.featureselection.subset.GreedyBackwardElimination (implements net.sf.javaml.featureselection.FeatureSubsetSelection)
  • net.sf.javaml.featureselection.subset.GreedyForwardSelection (implements net.sf.javaml.featureselection.FeatureSubsetSelection)
  • net.sf.javaml.clustering.evaluation.HybridCentroidSimilarity (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • net.sf.javaml.clustering.evaluation.HybridPairwiseSimilarities (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • net.sf.javaml.tools.InstanceTools
  • net.sf.javaml.clustering.IterativeFarthestFirst (implements net.sf.javaml.clustering.Clusterer)
  • net.sf.javaml.clustering.IterativeKMeans (implements net.sf.javaml.clustering.Clusterer)
  • net.sf.javaml.clustering.IterativeMultiKMeans (implements net.sf.javaml.clustering.Clusterer)
  • net.sf.javaml.core.kdtree.KDTree
  • net.sf.javaml.clustering.KMeans (implements net.sf.javaml.clustering.Clusterer)
  • net.sf.javaml.clustering.KMedoids (implements net.sf.javaml.clustering.Clusterer)
  • net.sf.javaml.filter.missingvalue.KNearestNeighbors (implements net.sf.javaml.filter.DatasetFilter)
  • net.sf.javaml.featureselection.scoring.KullbackLeiblerDivergence (implements net.sf.javaml.featureselection.FeatureScoring)
  • net.sf.javaml.featureselection.ensemble.LinearRankingEnsemble (implements net.sf.javaml.featureselection.FeatureRanking)
  • net.sf.javaml.tools.ListTools
  • net.sf.javaml.utils.LogLikelihoodFunction
  • net.sf.javaml.clustering.mcl.MarkovClustering
  • net.sf.javaml.utils.MathUtils
  • net.sf.javaml.matrix.Matrix
  • net.sf.javaml.clustering.mcl.MCL (implements net.sf.javaml.clustering.Clusterer)
  • net.sf.javaml.clustering.evaluation.MinMaxCut (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • net.sf.javaml.filter.MissingClassFilter (implements net.sf.javaml.filter.DatasetFilter)
  • net.sf.javaml.clustering.MultiKMeans (implements net.sf.javaml.clustering.Clusterer)
  • net.sf.javaml.clustering.OPTICS (implements net.sf.javaml.clustering.Clusterer)
  • net.sf.javaml.core.Pair<S,T>
  • net.sf.javaml.classification.evaluation.PerformanceMeasure
  • net.sf.javaml.clustering.evaluation.PointBiserial (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • net.sf.javaml.utils.Polynomial
  • net.sf.javaml.distance.PolynomialKernel (implements net.sf.javaml.distance.DistanceMeasure)
    • net.sf.javaml.distance.LinearKernel
  • net.sf.javaml.classification.tree.RandomForest (implements net.sf.javaml.classification.Classifier)
  • net.sf.javaml.featureselection.scoring.RandomForestAttributeEvaluation (implements net.sf.javaml.featureselection.FeatureScoring)
  • net.sf.javaml.classification.tree.RandomTree (implements net.sf.javaml.classification.Classifier)
  • net.sf.javaml.featureselection.ranking.RankingFromScoring (implements net.sf.javaml.featureselection.FeatureRanking)
  • net.sf.javaml.featureselection.ranking.RecursiveFeatureEliminationSVM (implements net.sf.javaml.featureselection.FeatureRanking)
  • net.sf.javaml.featureselection.scoring.RELIEF (implements net.sf.javaml.featureselection.FeatureScoring)
  • net.sf.javaml.filter.missingvalue.RemoveMissingValue (implements net.sf.javaml.filter.DatasetFilter)
  • net.sf.javaml.filter.instance.ReplaceValueFilter (implements net.sf.javaml.filter.InstanceFilter)
  • net.sf.javaml.filter.instance.RoundValueFilter (implements net.sf.javaml.filter.InstanceFilter)
  • net.sf.javaml.tools.sampling.SamplingMethod
    • net.sf.javaml.tools.sampling.NormalBootstrapping
    • net.sf.javaml.tools.sampling.SubSampling
  • net.sf.javaml.distance.fastdtw.dtw.SearchWindow
    • net.sf.javaml.distance.fastdtw.dtw.ExpandedResWindow
    • net.sf.javaml.distance.fastdtw.dtw.FullWindow
    • net.sf.javaml.distance.fastdtw.dtw.LinearWindow
    • net.sf.javaml.distance.fastdtw.dtw.ParallelogramWindow
    • net.sf.javaml.distance.fastdtw.dtw.WarpPathWindow
  • net.sf.javaml.tools.Serial
  • net.sf.javaml.tools.SetTools
  • net.sf.javaml.clustering.SOM (implements net.sf.javaml.clustering.Clusterer)
  • net.sf.javaml.utils.SpecialFunctions
  • net.sf.javaml.utils.Statistics
  • net.sf.javaml.clustering.evaluation.SumOfAveragePairwiseSimilarities (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • net.sf.javaml.clustering.evaluation.SumOfCentroidSimilarities (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • net.sf.javaml.clustering.evaluation.SumOfSquaredErrors (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • net.sf.javaml.featureselection.scoring.SymmetricalUncertainty (implements net.sf.javaml.featureselection.FeatureScoring)
  • net.sf.javaml.clustering.evaluation.Tau (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • net.sf.javaml.core.kdtree.KeyDuplicateException
      • net.sf.javaml.core.kdtree.KeySizeException
      • java.lang.RuntimeException
        • net.sf.javaml.core.exception.TrainingRequiredException
        • net.sf.javaml.tools.weka.WekaException
  • net.sf.javaml.distance.fastdtw.timeseries.TimeSeries
    • net.sf.javaml.distance.fastdtw.timeseries.PAA
    • net.sf.javaml.distance.fastdtw.timeseries.SineWave
  • net.sf.javaml.distance.fastdtw.timeseries.TimeSeriesPoint
  • net.sf.javaml.distance.fastdtw.dtw.TimeWarpInfo
  • net.sf.javaml.tools.weka.ToWekaUtils
  • net.sf.javaml.clustering.evaluation.TraceScatterMatrix (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • tutorials.tools.TutorialARFFLoader
  • tutorials.clustering.TutorialClusterEvaluation
  • tutorials.classification.TutorialCrossValidation
  • tutorials.classification.TutorialCVSameFolds
  • tutorials.tools.TutorialDataLoader
  • tutorials.core.TutorialDataset
  • tutorials.core.TutorialDenseInstance
  • tutorials.featureselection.TutorialEnsembleFeatureSelection
  • tutorials.classification.TutorialEvaluateDataset
  • tutorials.featureselection.TutorialFeatureRanking
  • tutorials.featureselection.TutorialFeatureScoring
  • tutorials.featureselection.TutorialFeatureSubsetSelection
  • tutorials.classification.TutorialKDtreeKNN
  • tutorials.clustering.TutorialKMeans
  • tutorials.classification.TutorialKNN
  • tutorials.classification.TutorialLibSVM
  • tutorials.classification.TutorialRandomForest
  • tutorials.core.TutorialSparseInstance
  • tutorials.tools.TutorialStoreData
  • tutorials.featureselection.TutorialWekaAttributeSelection
  • tutorials.tools.TutorialWekaClassifier
  • tutorials.tools.TutorialWekaClusterer
  • net.sf.javaml.distance.fastdtw.lang.TypeConversions
  • net.sf.javaml.clustering.mcl.Vectors
  • net.sf.javaml.distance.fastdtw.dtw.WarpPath
  • net.sf.javaml.clustering.evaluation.WB (implements net.sf.javaml.clustering.evaluation.ClusterEvaluation)
  • net.sf.javaml.tools.weka.WekaAttributeSelection (implements net.sf.javaml.featureselection.FeatureRanking, net.sf.javaml.featureselection.FeatureScoring)
  • net.sf.javaml.tools.weka.WekaClassifier (implements net.sf.javaml.classification.Classifier)
  • net.sf.javaml.tools.weka.WekaClusterer (implements net.sf.javaml.clustering.Clusterer)

Interface Hierarchy

• net.sf.javaml.clustering.Clusterer
• net.sf.javaml.clustering.evaluation.ClusterEvaluation
• net.sf.javaml.filter.DatasetFilter
• net.sf.javaml.featureselection.FeatureSelection
  • net.sf.javaml.featureselection.FeatureRanking
  • net.sf.javaml.featureselection.FeatureScoring
  • net.sf.javaml.featureselection.FeatureSubsetSelection
• net.sf.javaml.filter.InstanceFilter
• java.lang.Iterable<T>
  • java.util.Collection<E>
    • net.sf.javaml.core.Dataset
    • java.util.List<E>
      • net.sf.javaml.core.Dataset
  • net.sf.javaml.core.Dataset
  • net.sf.javaml.core.Instance (also extends java.util.Map<K,V>, java.io.Serializable)
  • java.util.List<E>
    • net.sf.javaml.core.Dataset
• java.util.Map<K,V>
  • net.sf.javaml.core.Instance (also extends java.lang.Iterable<T>, java.io.Serializable)
• java.io.Serializable
  • net.sf.javaml.classification.Classifier
  • net.sf.javaml.distance.DistanceMeasure
  • net.sf.javaml.core.Instance (also extends java.lang.Iterable<T>, java.util.Map<K,V>)

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • net.sf.javaml.clustering.SOM.GridType
    • net.sf.javaml.clustering.SOM.NeighbourhoodFunction
    • net.sf.javaml.clustering.SOM.LearningType