| 多核模糊聚类算法的研究 |
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| 引用本文： | 赵犁丰,李新,王栋.多核模糊聚类算法的研究[J].中国海洋大学学报(自然科学版),2009,39(5). |
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| 作者姓名： | 赵犁丰 李新 王栋 |
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| 作者单位： | 中国海洋大学信息科学与工程学院电子系,山东,青岛,266100 |
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| 基金项目： | 山东省自然科学基金项目(Y2008A0)资助 |
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| 摘 要： | 针对多类样本数据,提出1种多核模糊聚类算法。通过选取子核函数及其参数构造多核函数,使得输入空间的样本经多核函数映射后,增大不同类别样本间的差别,提高核函数的学习能力和泛化能力。聚类实验表明,多核函数模糊聚类对于多类样本数据具有比单核更好的聚类效果。
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| 关 键 词： | 多核函数 核聚类 模糊C-均值 特征空间 |
Clustering Algorithm Based on Multiple Kernel SVM |
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| ZHAO Li-Feng,LI Xin,WANG Dong.Clustering Algorithm Based on Multiple Kernel SVM[J].Periodical of Ocean University of China,2009,39(5). |
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| Authors: | ZHAO Li-Feng LI Xin WANG Dong |
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| Institution: | Department of Electronics Engineering;Ocean University of China;Qingdao 266100;China |
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| Abstract: | A fuzzy cluster algorithm based on multiple kernels is proposed due to learning problems involve multiple and heterogeneous data sources.The method overcomes the limitations of the algorithm based on single kernel and improves the learning and generalization performance.By using multiple kernel functions,the original data can be mapped into a high-dimensional feature space so that the important characteristics of data are shown clearly.The clustering experiment shows that the multiple kernels fuzzy cluster ... |
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| Keywords: | multiple kernel kernel cluster fuzzy C-means feature space |
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