| 基于EM-PLS的加权朴素贝叶斯分类算法 |
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| 引用本文： | 李雪莲,.基于EM-PLS的加权朴素贝叶斯分类算法[J].重庆工商大学学报(自然科学版),2011,28(1):22-25. |
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| 作者姓名： | 李雪莲 |
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| 作者单位： | 重庆大学数理学院,重庆,400044 |
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| 摘 要： | 朴素贝叶斯算法是一种简单而高效的分类算法,但是它的条件独立性假设和数据完备性要求,影响了其分类性能;在此提出了一种基于EM算法和偏最小二乘的加权朴素贝叶斯分类算法,实验结果验证了该算法的有效性.
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| 关 键 词： | 加权朴素贝叶斯 EM算法 偏最小二乘 |
Weighted Naive Bayes Classification Algorithm Based on EM-Partial Least Squares |
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| LI Xue-lian.Weighted Naive Bayes Classification Algorithm Based on EM-Partial Least Squares[J].Journal of Chongqing Technology and Business University:Natural Science Edition,2011,28(1):22-25. |
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| Authors: | LI Xue-lian |
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| Abstract: | Naive Bayes algorithm is a simple and effective classification algorithm.However,its classification performance is affected by its conditional attribute independence assumption and request of complete data.This paper proposes a weighted Naive Bayes classification algorithm based on EM algorithm and partial least squares. Experimental results show its validity. |
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| Keywords: | Weighted Naive Bayes EM Algorithm partial least squares |
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