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Problems and Analysis in Manifold Learning
流形学习方法中的若干问题分析

Keywords: Manifold learning,Dimensionality reduction,ISOMAP,LLE
流形学习
,维数约简,等距映射算法,局部线性嵌入算法

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Abstract:

Manifold learning is a newer research direction of machine learning and congnitive science in recent years,its essence is to find out the low dimensional manifold hidden in high dimensional space though learning discrete samples,and get the hidden dimensional structure of the high dimensional data to realize non-linear dimension reduction.The paper introduced some manifold learning algorithms,summarized some problems of manifold learning and its research status,and discussed the prospect of manifold learnin...

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