| 一种新的数据分类效果评价方法 |
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| 引用本文： | 吴成茂,范九伦.一种新的数据分类效果评价方法[J].计算机工程与应用,2004,40(25):171-172,222. |
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| 作者姓名： | 吴成茂 范九伦 |
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| 作者单位： | 西安邮电学院信息与控制系,西安,710061 |
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| 基金项目： | 国家自然科学基金项目:聚类有效性问题的研究(编号:69972041)资助 |
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| 摘 要： | 针对模糊C-均值聚类算法对初始化分类参数的选择比较敏感而导致分类结果差异性较大的不足,提出基于模糊C-均值聚类目标函数相对权重系数的偏导函数进行数据分类效果好坏的评价。实验结果表明,该文定义的分类效果评价方法是可行的。
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| 关 键 词： | 模糊C-均值聚类 目标函数 分类效果 |
| 文章编号： | 1002-8331-(2004)25-0171-02 |
A New Evaluating Method of Data Classifying Quality |
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| Wu,Chengmao Fan Jiulun.A New Evaluating Method of Data Classifying Quality[J].Computer Engineering and Applications,2004,40(25):171-172,222. |
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| Authors: | Wu Chengmao Fan Jiulun |
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| Abstract: | Based on the shortage of fuzzy c-means algorithm which initialized classification parameter is sensitivity to data classifying quality,and different initialized classification parameters generate classifying result with bigger otherness.A new evaluating criterion based on partial derivative of objective with respect to its weight coefficient is put forward to assess data classifying quality in this paper.Experimental results show that an evaluating criterion proposed in this paper is feasible. |
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| Keywords: | fuzzy c-means algorithm objective function classifying quality |
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