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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
相关搜索： weka
数据挖掘
Java
聚类
聚类
JAVA
神经网络
java
bayes
Naive
Bayes
机器学习
数据挖掘
java
weka
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下载文件列表

weka

....\associations

....\............\Apriori.java

....\............\Associator.java

....\............\ItemSet.java

....\attributeSelection

....\..................\ASEvaluation.java

....\..................\ASSearch.java

....\..................\AttributeEvaluator.java

....\..................\AttributeSelection.java

....\..................\AttributeTransformer.java

....\..................\BestFirst.java

....\..................\CfsSubsetEval.java

....\..................\ChiSquaredAttributeEval.java

....\..................\ClassifierSubsetEval.java

....\..................\ConsistencySubsetEval.java

....\..................\ErrorBasedMeritEvaluator.java

....\..................\ExhaustiveSearch.java

....\..................\ForwardSelection.java

....\..................\GainRatioAttributeEval.java

....\..................\GeneticSearch.java

....\..................\HoldOutSubsetEvaluator.java

....\..................\InfoGainAttributeEval.java

....\..................\OneRAttributeEval.java

....\..................\PrincipalComponents.java

....\..................\RaceSearch.java

....\..................\RandomSearch.java

....\..................\RankedOutputSearch.java

....\..................\Ranker.java

....\..................\RankSearch.java

....\..................\ReliefFAttributeEval.java

....\..................\StartSetHandler.java

....\..................\SubsetEvaluator.java

....\..................\SymmetricalUncertAttributeEval.java

....\..................\UnsupervisedAttributeEvaluator.java

....\..................\UnsupervisedSubsetEvaluator.java

....\..................\WrapperSubsetEval.java

....\classifiers

....\...........\AdaBoostM1.java

....\...........\AdditiveRegression.java

....\...........\adtree

....\...........\......\ADTree.java

....\...........\......\PredictionNode.java

....\...........\......\ReferenceInstances.java

....\...........\......\Splitter.java

....\...........\......\TwoWayNominalSplit.java

....\...........\......\TwoWayNumericSplit.java

....\...........\AttributeSelectedClassifier.java

....\...........\Bagging.java

....\...........\BVDecompose.java

....\...........\CheckClassifier.java

....\...........\ClassificationViaRegression.java

....\...........\Classifier.java

....\...........\CostMatrix.java

....\...........\CostSensitiveClassifier.java

....\...........\CVParameterSelection.java

....\...........\DecisionStump.java

....\...........\DecisionTable.java

....\...........\DistributionClassifier.java

....\...........\DistributionMetaClassifier.java

....\...........\evaluation

....\...........\..........\ConfusionMatrix.java

....\...........\..........\CostCurve.java

....\...........\..........\EvaluationUtils.java

....\...........\..........\MarginCurve.java

....\...........\..........\NominalPrediction.java

....\...........\..........\NumericPrediction.java

....\...........\..........\Prediction.java

....\...........\..........\ThresholdCurve.java

....\...........\..........\TwoClassStats.java

....\...........\Evaluation.java

....\...........\EvaluationClient.java

....\...........\FilteredClassifier.java

....\...........\HyperPipes.java

....\...........\IB1.java

....\...........\IBk.java

....\...........\Id3.java

....\...........\IterativeClassifier.java

....\...........\j48

....\...........\...\BinC45ModelSelection.java

....\...........\...\BinC45Split.java

....\...........\...\C45ModelSelection.java

....\...........\...\C45PruneableClassifierTree.java

....\...........\...\C45PruneableDecList.java

....\...........\...\C45Split.java

....\...........\...\ClassifierDecList.java

....\...........\...\ClassifierSplitModel.java

....\...........\...\ClassifierTree.java

....\...........\...\Distribution.java

....\...........\...\EntropyBasedSplitCrit.java

....\...........\...\EntropySplitCrit.java

....\...........\...\GainRatioSplitCrit.java

....\...........\...\InfoGainSplitCrit.java

....\...........\...\J48.java

....\...........\...\MakeDecList.java

....\...........\...\ModelSelection.java

....\...........\...\NoSplit.java

....\...........\...\PART.java

....\...........\...\PruneableClassifierTree.java

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