| 基于多重判别分析的朴素贝叶斯分类器 |
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| 引用本文： | 李旭升,郭耀煌.基于多重判别分析的朴素贝叶斯分类器[J].信息与控制,2005,34(5):580-584. |
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| 作者姓名： | 李旭升 郭耀煌 |
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| 作者单位： | 西南交通大学经济管理学院,四川,成都,610031 |
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| 基金项目： | 国家自然科学基金资助项目(70371026) |
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| 摘 要： | 通过分析朴素贝叶斯分类器的分类原理,并结合多重判别分析的优点,提出了一种基于多重判别分析的朴素贝叶斯分类器DANB(Discriminant Analysis Naive Bayesian classifier).将该分类方法与朴素贝叶斯分类器(Naive Bayesian classifier, NB)和TAN分类器(Tree Augmented Naive Bayesian classifier)进行实验比较,实验结果表明在大多数数据集上,DANB分类器具有较高的分类正确率.
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| 关 键 词： | 朴素贝叶斯 TAN分类器 多重判别分析 DANB分类器 |
| 文章编号： | 1002-0411（2005）05-0580-05 |
| 收稿时间： | 2005-03-29 |
| 修稿时间： | 2005-03-29 |
Naive Bayesian Classifier Based on Multiple Discriminant Analysis |
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| LI Xu-sheng,GUO Yao-huang.Naive Bayesian Classifier Based on Multiple Discriminant Analysis[J].Information and Control,2005,34(5):580-584. |
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| Authors: | LI Xu-sheng GUO Yao-huang |
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| Abstract: | On the basis of analyzing the classification principle of naive Bayesian classifier and integrating the advantages of multiple discriminant analysis,a naive Bayesian classifier based on multiple discriminant analysis,DANB(Discriminant Analysis Naive Bayes),is proposed.The DANB classifier is compared with Naive Bayes(NB) classifier and TAN(Tree Augmented Naive Bayes) classifier by an experiment.Experiment results show that this model has higher classification accuracy in most datasets. |
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| Keywords: | naive Bayes TAN(Tree Augmented Naive Bayes)classifier multiple discriminant analysis DANB(Discriminant Analysis Naive Bayesian)classifier |
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