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文件名称:weka

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:<<数据挖掘--实用机器学习技术及java实现>>一书的配套源程序,结合数据挖掘和机器学习的知识,以java语言实现了具有代表性的各类数据挖掘方法.例如:classifier中的ZeroR.OneR.NaiveBayes.DecisionTable.IBK.C45,还有聚类,数据预处理等-: lt; Lt; Data Mining -- Practical Machine Learning Technology and java achieve gt; Gt; A matching the source, combining data mining and machine learning, the knowledge, java language to a representative of the various types of data mining. For example : the classifier ZeroR . OneR.NaiveBayes.DecisionTable.IBK.C45, clustering, data pretreatment
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下载文件列表

weka/associations/Apriori.java
weka/associations/Associator.java
weka/associations/ItemSet.java
weka/associations
weka/attributeSelection/ASEvaluation.java
weka/attributeSelection/ASSearch.java
weka/attributeSelection/AttributeEvaluator.java
weka/attributeSelection/AttributeSelection.java
weka/attributeSelection/AttributeTransformer.java
weka/attributeSelection/BestFirst.java
weka/attributeSelection/CfsSubsetEval.java
weka/attributeSelection/ChiSquaredAttributeEval.java
weka/attributeSelection/ClassifierSubsetEval.java
weka/attributeSelection/ConsistencySubsetEval.java
weka/attributeSelection/ErrorBasedMeritEvaluator.java
weka/attributeSelection/ExhaustiveSearch.java
weka/attributeSelection/ForwardSelection.java
weka/attributeSelection/GainRatioAttributeEval.java
weka/attributeSelection/GeneticSearch.java
weka/attributeSelection/HoldOutSubsetEvaluator.java
weka/attributeSelection/InfoGainAttributeEval.java
weka/attributeSelection/OneRAttributeEval.java
weka/attributeSelection/PrincipalComponents.java
weka/attributeSelection/RaceSearch.java
weka/attributeSelection/RandomSearch.java
weka/attributeSelection/RankSearch.java
weka/attributeSelection/RankedOutputSearch.java
weka/attributeSelection/Ranker.java
weka/attributeSelection/ReliefFAttributeEval.java
weka/attributeSelection/StartSetHandler.java
weka/attributeSelection/SubsetEvaluator.java
weka/attributeSelection/SymmetricalUncertAttributeEval.java
weka/attributeSelection/UnsupervisedAttributeEvaluator.java
weka/attributeSelection/UnsupervisedSubsetEvaluator.java
weka/attributeSelection/WrapperSubsetEval.java
weka/attributeSelection
weka/classifiers/adtree/ADTree.java
weka/classifiers/adtree/PredictionNode.java
weka/classifiers/adtree/ReferenceInstances.java
weka/classifiers/adtree/Splitter.java
weka/classifiers/adtree/TwoWayNominalSplit.java
weka/classifiers/adtree/TwoWayNumericSplit.java
weka/classifiers/adtree
weka/classifiers/AdaBoostM1.java
weka/classifiers/AdditiveRegression.java
weka/classifiers/AttributeSelectedClassifier.java
weka/classifiers/BVDecompose.java
weka/classifiers/Bagging.java
weka/classifiers/CVParameterSelection.java
weka/classifiers/CheckClassifier.java
weka/classifiers/ClassificationViaRegression.java
weka/classifiers/Classifier.java
weka/classifiers/CostMatrix.java
weka/classifiers/CostSensitiveClassifier.java
weka/classifiers/DecisionStump.java
weka/classifiers/DecisionTable.java
weka/classifiers/DistributionClassifier.java
weka/classifiers/DistributionMetaClassifier.java
weka/classifiers/Evaluation.java
weka/classifiers/FilteredClassifier.java
weka/classifiers/HyperPipes.java
weka/classifiers/IB1.java
weka/classifiers/IBk.java
weka/classifiers/Id3.java
weka/classifiers/IterativeClassifier.java
weka/classifiers/KernelDensity.java
weka/classifiers/LWR.java
weka/classifiers/LinearRegression.java
weka/classifiers/Logistic.java
weka/classifiers/LogitBoost.java
weka/classifiers/MetaCost.java
weka/classifiers/MultiClassClassifier.java
weka/classifiers/MultiScheme.java
weka/classifiers/NaiveBayes.java
weka/classifiers/NaiveBayesSimple.java
weka/classifiers/OneR.java
weka/classifiers/Prism.java
weka/classifiers/RegressionByDiscretization.java
weka/classifiers/SMO.java
weka/classifiers/Sourcable.java
weka/classifiers/Stacking.java
weka/classifiers/ThresholdSelector.java
weka/classifiers/UpdateableClassifier.java
weka/classifiers/UserClassifier.java
weka/classifiers/VFI.java
weka/classifiers/VotedPerceptron.java
weka/classifiers/ZeroR.java
weka/classifiers/evaluation/ConfusionMatrix.java
weka/classifiers/evaluation/CostCurve.java
weka/classifiers/evaluation/EvaluationUtils.java
weka/classifiers/evaluation/MarginCurve.java
weka/classifiers/evaluation/NominalPrediction.java
weka/classifiers/evaluation/NumericPrediction.java
weka/classifiers/evaluation/Prediction.java
weka/classifiers/evaluation/ThresholdCurve.java
weka/classifiers/evaluation/TwoClassStats.java
weka/classifiers/evaluation
weka/classifiers/j48/BinC45ModelSelection.java
weka/classifiers/j48/BinC45Split.java
weka/classifiers/j48/C45ModelSelection.java
weka/classifiers/j48/C45PruneableClassifierTree.java
weka/classifiers/j48/C45PruneableDecList.java
weka/classifiers/j48/C45Split.java
weka/classifiers/j48/ClassifierDecList.java
weka/classifiers/j48/ClassifierSplitModel.java
weka/classifiers/j48/ClassifierTree.java
weka/classifiers/j48/Distribution.java
weka/classifiers/j48/EntropyBasedSplitCrit.java
weka/classifiers/j48/EntropySplitCrit.java
weka/classifiers/j48/GainRatioSplitCrit.java
weka/classifiers/j48/InfoGainSplitCrit.java
weka/classifiers/j48/J48.java
weka/classifiers/j48/MakeDecList.java
weka/classifiers/j48/ModelSelection.java
weka/classifiers/j48/NoSplit.java
weka/classifiers/j48/PART.java
weka/classifiers/j48/PruneableClassifierTree.java
weka/classifiers/j48/PruneableDecList.java
weka/classifiers/j48/SplitCriterion.java
weka/classifiers/j48/Stats.java
weka/classifiers/j48
weka/classifiers/kstar/KStar.java
weka/classifiers/kstar/KStarCache.java
weka/classifiers/kstar/KStarConstants.java
weka/classifiers/kstar/KStarNominalAttribute.java
weka/classifiers/kstar/KStarNumericAttribute.java
weka

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