| 基于半监督模糊聚类的黄瓜霜霉病受害程度识别研究 |
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| 引用本文： | 施伟民,杨昔阳,李志伟.基于半监督模糊聚类的黄瓜霜霉病受害程度识别研究[J].福建师范大学学报(自然科学版),2012,28(1):33-37. |
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| 作者姓名： | 施伟民 杨昔阳 李志伟 |
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| 作者单位： | 泉州师范学院数学与计算机科学学院,福建泉州,362000 |
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| 基金项目： | 泉州市科技计划项目，福建省教育厅资助项目，陕西省科技厅重点国际科技合作项目，泉州师范学院校科研基金项目 |
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| 摘 要： | 通过定义一种新的半监督模糊聚类算法,提高聚类算法的运行效率和可解释性,结合Fisher线性判别分析,对黄瓜霜霉病的受害程度进行识别研究.针对7个关于叶片色调信息的统计特征,利用判别分析提取出2个主分量.结合一部分叶片的类别属性,对所有叶片的这2个主分量,进行半监督聚类分析.结果表明,对于类别属性已知的叶片,聚类结果与已知类别的一致率达100%,而对于类别未知的数据,一致率也达到95%以上.
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| 关 键 词： | 黄瓜霜霉病 半监督 模糊聚类 |
Research on Disease Level of Cucumber Downy Mildew Based on Partial Fuzzy C-means Algorithm |
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| SHI Wei-min
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YANG Xi-yang
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LI Zhi-wei.Research on Disease Level of Cucumber Downy Mildew Based on Partial Fuzzy C-means Algorithm[J].Journal of Fujian Teachers University(Natural Science),2012,28(1):33-37. |
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| Authors: | SHI Wei-min YANG Xi-yang LI Zhi-wei |
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| Institution: | (School of Mathematics and Computer Science,Quanzhou Normal University,Quanzhou 362000,China) |
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| Abstract: | A novel fuzzy C-means algorithm is proposed to improve the intelligibility and computing efficiency of semi-supervised cluster algorithm.Based on Fisher linear discriminant and the proposed algorithm,the disease level of cucumber leaves infected by cucumber downy mildew are studied.7 hue statistics of cucumber leaves are measured,and 2 feature parameters are founded based on linear discriminant analysis.The result of the partial Fuzzy Gmeuns alyorithm shows that the correct recognition rata is 100% on sample data,and above 95% on test data. |
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| Keywords: | cucumber downy mildew semi-supervised fuzzy cluster |
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