文件名称:classifiers
- 所属分类:
- JSP源码/Java
- 资源属性:
- [Java] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 363kb
- 下载次数:
- 0次
- 提 供 者:
- j***
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
数据挖掘classifiers算法,用JAVA实现的分类算法。-Data mining classifiers algorithm, using JAVA realize the classification algorithm.
相关搜索: 数据挖掘
(系统自动生成,下载前可以参看下载内容)
下载文件列表
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
...........\...\PruneableDecList.java
...........\...\SplitCriterion.java
...........\...\Stats.java
...........\KernelDensity.java
...........\kstar
...........\.....\KStar.java
...........\.....\KStarCache.java
...........\.....\KStarConstants.java
...........\.....\KStarNominalAttribute.java
...........\.....\KStarNumericAttribute.java
...........\.....\KStarWrapper.java
...........\.....\LightHashTable.java
...........\LinearRegression.java
...........\Logistic.java
...........\LogitBoost.java
...........\LWR.java
...........\m5
...........\..\Dvector.java
...........\..\Errors.java
...........\..\Function.java
...........\..\Impurity.java
...........\..\Ivector.java
...........\..\M5Prime.java
...........\..\M5Utils.java
...........\..\Matrix.java
...........\..\Measures.java
...........\..\Node.java
...........\..\Options.java
...........\..\SplitInfo.java
...........\..\Values.java
...........\MetaCost.java
...........\MultiClassClassifier.java
...........\MultiScheme.java
...........\NaiveBayes.java
...........\NaiveBayesSimple.java
...........\neural
...........\......\LinearUnit.java
...........\......\NeuralConnection.java
...........\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
...........\...\PruneableDecList.java
...........\...\SplitCriterion.java
...........\...\Stats.java
...........\KernelDensity.java
...........\kstar
...........\.....\KStar.java
...........\.....\KStarCache.java
...........\.....\KStarConstants.java
...........\.....\KStarNominalAttribute.java
...........\.....\KStarNumericAttribute.java
...........\.....\KStarWrapper.java
...........\.....\LightHashTable.java
...........\LinearRegression.java
...........\Logistic.java
...........\LogitBoost.java
...........\LWR.java
...........\m5
...........\..\Dvector.java
...........\..\Errors.java
...........\..\Function.java
...........\..\Impurity.java
...........\..\Ivector.java
...........\..\M5Prime.java
...........\..\M5Utils.java
...........\..\Matrix.java
...........\..\Measures.java
...........\..\Node.java
...........\..\Options.java
...........\..\SplitInfo.java
...........\..\Values.java
...........\MetaCost.java
...........\MultiClassClassifier.java
...........\MultiScheme.java
...........\NaiveBayes.java
...........\NaiveBayesSimple.java
...........\neural
...........\......\LinearUnit.java
...........\......\NeuralConnection.java