| 基于改进模糊均值聚类算法的遥感图像聚类 |
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| 引用本文： | 沈忠阳,覃亚丽.基于改进模糊均值聚类算法的遥感图像聚类[J].杭州电子科技大学学报,2012,32(4):99-101. |
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| 作者姓名： | 沈忠阳 覃亚丽 |
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| 作者单位： | 浙江工业大学信息工程学院光纤通信与信息工程研究所,浙江杭州,310023 |
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| 摘 要： | 由于传统模糊C均值聚类算法存在缺陷,该文给出了一种结合加权模糊C均值聚类与聚类有效性指数的算法.利用数据点的密度大小作为权值,借助数据本身的分布特性,该方法不仅在一定程度上克服了模糊均值算法的缺陷——有对数据集进行等划分的趋势,而且具有良好的收敛性.
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| 关 键 词： | 模糊均值 点密度函数 遥感图像 聚类 有效性指数 |
Remote Sensing Image Clustering Based on Modified FCM Clustering Algorithm |
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| SHEN Zhong-yang
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QIN Ya-li.Remote Sensing Image Clustering Based on Modified FCM Clustering Algorithm[J].Journal of Hangzhou Dianzi University,2012,32(4):99-101. |
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| Authors: | SHEN Zhong-yang QIN Ya-li |
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| Affiliation: | (Institute of Fiber Communication ＆ Information Engineering, College of Information Engineering, Zhejiang University of Technology, Hangzhou Zhejiang 310023, China) |
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| Abstract: | As the fuzzy C-means clustering algorithm（FCM） has shortcomings. To solve the above problem, this paper proposes a combination of WFCM algorithm and cluster validity index. Distributing density size of data dot is regard as weighted value, in virtue of distributing characteristic of data＇s own, the method has not only to certain extent overcome limitation of fuzzy C-means algorithm--having limitation of equal partition trend for data sets, but also been favorable convergence. |
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| Keywords: | fuzzy means dot density function remote sensing image clustering validity index |
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