Kernel principal component analysis
http://dbpedia.org/resource/Kernel_principal_component_analysis an entity of type: Software
In the field of multivariate statistics, kernel principal component analysis (kernel PCA)is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are performed in a reproducing kernel Hilbert space.
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核主成分分析（英語：kernel principal component analysis，简称kernel PCA）是多变量统计领域中的一种分析方法，是使用对主成分分析的非线性扩展，即将原数据通过核映射到后再使用原本线性的主成分分析。
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Kernel principal component analysis
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核主成分分析
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5978424
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1056934237
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In the field of multivariate statistics, kernel principal component analysis (kernel PCA)is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are performed in a reproducing kernel Hilbert space.
rdf:langString
核主成分分析（英語：kernel principal component analysis，简称kernel PCA）是多变量统计领域中的一种分析方法，是使用对主成分分析的非线性扩展，即将原数据通过核映射到后再使用原本线性的主成分分析。
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8545
