| 模糊C-均值算法分类器设计的改进 |
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| 引用本文： | 李泰,邹俊兰.模糊C-均值算法分类器设计的改进[J].商丘职业技术学院学报,2008,7(5):66-68. |
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| 作者姓名： | 李泰 邹俊兰 |
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| 作者单位： | 商丘职业技术学院,河南,商丘,476000 |
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| 摘 要： | 为了提高分类器的分类率，再一次把模糊的思想引入C-均值算法，构成双重模糊C-均值算法的分类器，所不同的是把模糊化思想引入到分类规则上．用这样一个模糊规则来表示分类的模糊系统，更加有效地构建了一个能对训练样本比较准确分类的模糊分类器．用这种方法设计的分类器不需要预定义参数、训练时间短、方法简单．
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| 关 键 词： | 模式识别 模糊分类器 C-均值算法 |
Design of dual fuzzy C-means classifier |
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| LI Tai,ZOU Jun-lan.Design of dual fuzzy C-means classifier[J].Journal of Shangqiu Vocational and Technical College,2008,7(5):66-68. |
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| Authors: | LI Tai ZOU Jun-lan |
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| Institution: | LI Tai,ZOU Jun - lan ( hangqiu Vocational and Technical College, Shangqiu Henan 476000, China) |
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| Abstract: | We made use of the fuzzy theories to C - means algorithm again is for increasing classifications classification rate, The differentia is that fuzzy theories were used for fuzzy rule. This fuzzy system design method that uses a fuzzy rule to represent a cluster is then propsed so that a fuzzy classifier can be efficiently constructed to correctly classify the training data. The proposed method does not need a prior parameter definition ,but only needs a short training time, therefore is simple. |
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| Keywords: | pattern recongnition fuzzy classifier C -means algorithm |
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