| 一种基于模糊C均值的新分类算法 |
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| 引用本文： | 董立岩,李真,阎鹏飞.一种基于模糊C均值的新分类算法[J].吉林大学学报(理学版),2009,47(4):795-799. |
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| 作者姓名： | 董立岩 李真 阎鹏飞 |
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| 作者单位： | 吉林大学 计算机科学与技术学院, 长春 130012 |
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| 摘 要： | 以两种初始化类中心的选择算法为基础, 对传统聚类算法模糊C均值算法进行改进, 提出一种基于模糊C均值的新分类算法NFCM, 解决了数据分类问
题, 并采用UCI上的标准数据集中多个常用数据集进行实验测试, 实验结果表明, 对于UCI上标准数据集的常用数据具有较好的分类结果.
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| 关 键 词： | 分类 模糊C均值 kNN划分 新的模糊C均值算法 |
| 收稿时间： | 2009-03-10 |
Identification of Major Hazards Based on Bayesian Classifier |
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| DONG Li-yan,LI Zhen,YAN Peng-fei.Identification of Major Hazards Based on Bayesian Classifier[J].Journal of Jilin University: Sci Ed,2009,47(4):795-799. |
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| Authors: | DONG Li-yan LI Zhen YAN Peng-fei |
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| Institution: | College of Computer Science and Technology, Jilin University, Changchun 130012, China |
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| Abstract: | In view of the problem of major hazards identification in emergency response domain,we proposed a new identification model,Bayesian based major hazards identification model.First the model was constructed with the aid of known knowledge,then major hazards were identified according to the constructed model via probability.We applied this model to chemical production area and forest fire prevention area respectively,obtaining the results reasonable.Practice shows this way is effective. |
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| Keywords: | Bayesian classifier data mining major hazards identification emergency response plan |
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