| 使用模糊加权距离的模糊K—近邻算法 |
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| 引用本文： | 鲁宇.使用模糊加权距离的模糊K—近邻算法[J].枣庄师专学报,1990,7(2):71-76. |
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| 作者姓名： | 鲁宇 |
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| 作者单位： | 中国瑞达系统装备公司 |
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| 摘 要： | 本文用自定义的模糊加权距离代替K—近邻分类器中的明氏距离,这种替代突出了每一样本中占有优势的特征分量对距离的贡献。仿真实验及实用结果表明这种替换可进一步改善分类器的性能。
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| 关 键 词： | 模糊集 加权距离 K－近邻算法 |
FUZZY K-NN ALGORITHM USING FUZZY WEIGHTED DISTANCE |
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| Lu Yu.FUZZY K-NN ALGORITHM USING FUZZY WEIGHTED DISTANCE[J].Journal of Zaozhuang Teachers' College,1990,7(2):71-76. |
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| Authors: | Lu Yu |
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| Institution: | China RIOA System Equipment Corp |
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| Abstract: | ABSTRAST The Minkowski distance is replaced by the selfdefined fuzzy weiohbed-distance in k-nearest neighbor classifier. This replacement emphasizss the contribution to distance of the feature elements wmich have the superity in each sample, Simulation and practical results show that this replacement can further imp rov the property of classifier. |
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| Keywords: | Fuzzy Sets weighted Distance Fuzzy k-Nearest Neighbor Algorithm Classifier |
| 本文献已被 CNKI 维普 等数据库收录！ |
