| 有监督的噪音流形学习算法 |
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| 引用本文： | 黄添强,李凯,郑之.有监督的噪音流形学习算法[J].广西师范大学学报(自然科学版),2011,29(3):131-135. |
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| 作者姓名： | 黄添强 李凯 郑之 |
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| 作者单位： | 福建师范大学计算机科学与技术学院计算机科学系,福建福州,350007 |
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| 基金项目： | 国家自然科学基金资助项目(61070062); 福建省自然科学基金资助项目(2008J04004); 福建省高校服务海西建设重点项目(2008HX200941-4-5) |
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| 摘 要： | 流形学习算法是维度约简与数据可视化领域的重要工具,提高算法的效率与健壮性对其实际应用有积极意义.经典的流形学习算法普遍的对噪音点较为敏感,现有的改进算法尚存在不足.本文提出一种基于监督学习与核函数的健壮流形学习算法,把核方法与监督学习引入降维过程,利用已知标签数据信息与核函数特性,使得同类样本变得紧密,不同类样本变成分...
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| 关 键 词： | 流形学习 监督学习 核函数 |
Algorithm of Supervised Learning on Outlier Manifold |
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| HUANG Tian-qiang,LI Kai,ZHENG Zhi.Algorithm of Supervised Learning on Outlier Manifold[J].Journal of Guangxi Normal University(Natural Science Edition),2011,29(3):131-135. |
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| Authors: | HUANG Tian-qiang LI Kai ZHENG Zhi |
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| Institution: | HUANG Tian-qiang,LI Kai,ZHENG Zhi(Department of Computer Science,School of Mathematics and Computer Science,Fujian Normal University,Fuzhou 350007,China) |
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| Abstract: | Manifold learning algorithm is an important tool in the field of dimension reduction and data visualization.Improving the algorithm's efficiency and robustness is of positive significance to its practical application.Classical manifold learning algorithm is sensitive to noise points,and its improved algorithms have been imperfect.This paper presents a robust manifold learning algorithm based on supervised learning and kernel function.It introduces nuclear methods and supervised learning into the dimensional... |
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| Keywords: | manifold learning supervised learning kernel function |
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