| 基于模糊K-调和均值的单词-文档谱聚类方法 |
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| 引用本文： | 刘娜,肖智博,鲁明羽.基于模糊K-调和均值的单词-文档谱聚类方法[J].控制与决策,2012,27(4):501-506. |
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| 作者姓名： | 刘娜 肖智博 鲁明羽 |
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| 作者单位： | 大连海事大学信息科学技术学院;大连工业大学信息科学与工程学院 |
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| 基金项目： | 国家自然科学基金项目(61175053,61073133,60973067);教育部创新团队及重点科研培育项目(2011ZD010) |
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| 摘 要： | 在分析单词-文档谱聚类方法的基本步骤,找出其对初始值敏感的根本原因的基础上,提出一种基于模糊-调和均值的单词-文档谱聚类方法.首先从矩阵相似的角度对谱聚类中的Laplacian矩阵进行处理,使其满足对初始值不敏感的条件;然后通过加入模糊的概念,用模糊K-调和均值算法代替K-均值算法,使聚类结果对初始值不敏感.实验结果表明,所提出的方法不仅使聚类结果对初始值不敏感,而且在一定程度上提高了数据的鲁棒性.
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| 关 键 词： | 谱聚类 K-均值 K-调和均值 模糊-调和均值 |
| 收稿时间： | 2010/11/10 0:00:00 |
| 修稿时间： | 2011/1/14 0:00:00 |
Spectral co-clustering documents and words based on fuzzy K-Harmonic means |
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| LIU Na XIAO Zhi-bo LU Ming-yu.Spectral co-clustering documents and words based on fuzzy K-Harmonic means[J].Control and Decision,2012,27(4):501-506. |
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| Authors: | LIU Na XIAO Zhi-bo LU Ming-yu |
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| Affiliation: | 1(1.College of Information Science & Technology,Dalian Maritime University,Dalian 116026,China;2.College of Information Science & Engineering,Dalian Polytechnic University,Dalian 116034,China.) |
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| Abstract: | Based on analysising the main step of spectral clustering and finding out its cause of sensitive to the initialization,a method of spectral co-clustering documents and words based on fuzzy K-harmonic means is proposed.Firstly,the matrix which is insensitive to the initialization is constructed.Then fuzzy K-harmonic means algorithm is used instead of K-means algorithm.The experiment result shows that the proposed method not only is initialization insensitive,but also can improve the accuracy and robustness of clustering results. |
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| Keywords: | spectral clustering K-means K-harmonic means fuzzy-harmonic means |
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