| 一种基于模糊C均值的新分类算法 |
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| 引用本文： | 刘杰,刘大有,金弟.一种基于模糊C均值的新分类算法[J].吉林大学学报(理学版),2009,47(4). |
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| 作者姓名： | 刘杰 刘大有 金弟 |
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| 作者单位： | 吉林大学,计算机科学与技术学院,长春,130012 |
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| 摘 要： | 以两种初始化类中心的选择算法为基础, 对传统聚类算法模糊C均值算法进行改进, 提出一种基于模糊C均值的新分类算法NFCM, 解决了数据分类问题, 并采用UCI上的标准数据集中多个常用数据集进行实验测试, 实验结果表明, 对于UCI上标准数据集的常用数据具有较好的分类结果.
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| 关 键 词： | 分类 模糊C均值 kNN划分 新的模糊C均值算法 |
A New Classification Algorithm Based on Fuzzy C-Means |
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| LIU Jie,LIU Da-you,JIN Di.A New Classification Algorithm Based on Fuzzy C-Means[J].Journal of Jilin University: Sci Ed,2009,47(4). |
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| Authors: | LIU Jie LIU Da-you JIN Di |
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| Institution: | College of Computer Science and Technology;Jilin University;Changchun 130012;China |
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| Abstract: | Two methods for initialization of cluster centers were presented,one is supervised method;the other is the method based on kNN partition.An improved algorithm based on fuzzy C-means,a traditional clustering algorithm was finished,which was used to complete the data classification first.And several standard datasets from UCI were tested,which shows a well classification result is found. |
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| Keywords: | classification fuzzy C-means kNN partition NFCM |
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