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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。 |
| 关键词: 加权朴素贝叶斯 EM算法 偏最小二乘 |
| DOI： |
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| Weighted Naive Bayes Classification Algorithm Based on EM-Partial Least Squares |
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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. |
| Key words: Weighted Naive Bayes EM Algorithm partial least squares |
