| 流形学习算法综述 |
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| 引用本文： | 王自强,钱旭,孔敏.流形学习算法综述[J].计算机工程与应用,2008,44(35):9-12. |
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| 作者姓名： | 王自强 钱旭 孔敏 |
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| 作者单位： | 1. 中国矿业大学(北京)机电与信息工程学院,北京,100083
2. 山东省曲阜市职业中等专业学校,山东,曲阜,273100 |
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| 基金项目： | 教育部科学技术研究重点项目
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| 摘 要： | 流形学习算法作为一种新的维数降维方法工具,其目标是发现嵌入在高维数据空间中的低维流形结构,并给出一个有效的低维表示。目前,流形学习已成为模式识别、机器学习和数据挖掘领域的研究热点问题。介绍了流形学习的基本思想、一些最新研究成果及其算法分析,并提出和分析了有待进一步研究的问题。
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| 关 键 词： | 流形学习 维数降维 模式识别 机器学习 |
| 收稿时间： | 2008-9-3 |
| 修稿时间： | 2008-10-6
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Survey on manifold learning algorithms |
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| WANG Zi-qiang,QIAN Xu,KONG Min.Survey on manifold learning algorithms[J].Computer Engineering and Applications,2008,44(35):9-12. |
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| Authors: | WANG Zi-qiang QIAN Xu KONG Min |
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| Affiliation: | 1.College of Mechanical Electronic and Information Engineering，China University of Mining and Technology，Beijing 100083，China 2.Qufu Vocational School of Shandong Province，Qufu，Shandong 273100，China |
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| Abstract: | As a novel dimensionality reduction technique,manifold learning algorithm aims at discovering the lower dimensional manifold structure which is embedded in the high dimensionality data space,and derives an efficient lower dimensional representation.At present,manifold learning has become a hot issue in the field of pattern recognition,machine learning and data mining. The fundamental ideas,some latest research resutls and algorithm analysis of manifold learing are introduced.Besides,some prob- lems for further research are presented and analyzed. |
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| Keywords: | manifold learning dimensionality reduction pattern recognition machine learning |
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