| 一种基于最大模糊熵的高斯聚类算法 |
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| 引用本文： | 谭扬波,陈光. 一种基于最大模糊熵的高斯聚类算法[J]. 电子科技大学学报(社会科学版), 2000, 0(3) |
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| 作者姓名： | 谭扬波 陈光 |
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| 作者单位： | 电子科技大学自动化系!成都610054 |
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| 摘 要： | 介绍了一种新的模糊聚类方法，定义了模糊熵，提出了基于最大模糊熵的模糊聚类的方法，得到了一种新的聚类算法——GCM算法。该算法的物理意义清晰，有明确的数学含义，相对于传统的FCM聚类算法，其聚类效果更好。
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| 关 键 词： | 熵 最大模糊熵 模糊聚类 高斯聚类算法 |
A Gaussian Clustering Method Based on Maximum Fuzzy Entropy |
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| Tan Yangbo ,Chen Guangiu. A Gaussian Clustering Method Based on Maximum Fuzzy Entropy[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2000, 0(3) |
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| Authors: | Tan Yangbo Chen Guangiu |
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| Abstract: | This paper proposes a new method for fuzzy clustering. Fuzzy entropy is defined at first,then a new fuzzy clustering method based on maximum fuzzy entropy is proposed, that is GCM method.Compared to traditional FCM method, this method has clearer physical meaning and well-defined mathematical features. It also has better clustering results. |
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| Keywords: | entropy maximum fuzzy entropy fuzzy clustering gaussian clustering method |
| 本文献已被 CNKI 等数据库收录！ |
