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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
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JAVA写的垃圾邮件过滤器,基于朴素贝叶斯算法,用NetBean生成的界面(须JDK1.6),适用于对手机短信,邮箱邮件,日记等一些txt文件进行分类,测试率达90 以上。-JAVA to write spam filters, based on the Naive Bayes algorithm, using NetBean generated interface (to be JDK1.6), applies to SMS, E-mail e-mail, diary and some oth
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分类算法的java实现,包括KNN算法,朴素贝叶斯算法等-Classification algorithm to achieve by java, including KNN algorithm, Naive Bayes algorithm
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