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NaiveBayes.java.tar.gz 基于weka的分类算法
- 基于weka的分类算法，用于weka拓展应用。朴素贝叶斯模型发源于古典数学理论，有着坚实的数学基础，以及稳定的分类效率。同时，该算法所需估计的参数很少，对缺失数据不太敏感，算法也比较简单。理论上，与其他分类方法相比具有最小的误差率。,Based on the classification algorithm weka, weka develop applications for. Naive Bayes model originated in the classical mathematical
NativeBayes
- MapReduce实现NaiveBayes分类器-MapReduce implementation NaiveBayes classifier
NaiveBayes
- 用Java实现的朴素贝叶斯分类器，并可对输入特征进行预测。-Java implementation of the Naive Bayes classifier, can be predicted on the input feature.
NaiveBayes
- 基于朴素贝叶斯算法实现的文本分类程序，对数据挖掘的初学者具有很好的学习参考价值。-Based on Bayesian text classification algorithm procedures, data mining beginners a good learning reference value.
NaiveBayes
- 朴实贝叶斯的代码源程序实现，只是基本的加入了内置的数据进行分类-Simple Bayesian source code to achieve, just basic adding a built-in data classification
Naivebayes-Java-Code
- 贝叶斯算法的Java源程序，十大经典分类算法之一，在weka环境下进行数据分类必备算法之一。-Bayesian algorithm Java source code, one of the top ten classical classification algorithms, weka environment under one classification algorithms necessary data.
NaiveBayes
- Implement the Naive Bayes algorithm
NaiveBayes
- Naive Bayes 朴素贝叶斯的Java代码实现