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- Kernel_principal_component_analysis abstract "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 done in a reproducing kernel Hilbert space with a non-linear mapping.".
- Kernel_principal_component_analysis wikiPageID "5978424".
- Kernel_principal_component_analysis wikiPageLength "8029".
- Kernel_principal_component_analysis wikiPageOutDegree "25".
- Kernel_principal_component_analysis wikiPageRevisionID "673787821".
- Kernel_principal_component_analysis wikiPageWikiLink Almost_always.
- Kernel_principal_component_analysis wikiPageWikiLink Almost_surely.
- Kernel_principal_component_analysis wikiPageWikiLink Category:Kernel_methods_for_machine_learning.
- Kernel_principal_component_analysis wikiPageWikiLink Category:Machine_learning_algorithms.
- Kernel_principal_component_analysis wikiPageWikiLink Category:Multivariate_statistics.
- Kernel_principal_component_analysis wikiPageWikiLink Category:Signal_processing.
- Kernel_principal_component_analysis wikiPageWikiLink Cluster_analysis.
- Kernel_principal_component_analysis wikiPageWikiLink Covariance_matrix.
- Kernel_principal_component_analysis wikiPageWikiLink Eigendecomposition_of_a_matrix.
- Kernel_principal_component_analysis wikiPageWikiLink Gramian_matrix.
- Kernel_principal_component_analysis wikiPageWikiLink Hyperplane.
- Kernel_principal_component_analysis wikiPageWikiLink Kernel_method.
- Kernel_principal_component_analysis wikiPageWikiLink Kernel_methods.
- Kernel_principal_component_analysis wikiPageWikiLink Kernel_trick.
- Kernel_principal_component_analysis wikiPageWikiLink Linear_separability.
- Kernel_principal_component_analysis wikiPageWikiLink Multilinear_principal_component_analysis.
- Kernel_principal_component_analysis wikiPageWikiLink Multilinear_subspace_learning.
- Kernel_principal_component_analysis wikiPageWikiLink Multivariate_statistics.
- Kernel_principal_component_analysis wikiPageWikiLink Nonlinear_dimensionality_reduction.
- Kernel_principal_component_analysis wikiPageWikiLink Principal_component_analysis.
- Kernel_principal_component_analysis wikiPageWikiLink Reproducing_kernel_Hilbert_space.
- Kernel_principal_component_analysis wikiPageWikiLink Spectral_clustering.
- Kernel_principal_component_analysis wikiPageWikiLink File:Kernel_pca_input.png.
- Kernel_principal_component_analysis wikiPageWikiLink File:Kernel_pca_output.png.
- Kernel_principal_component_analysis wikiPageWikiLink File:Kernel_pca_output_gaussian.png.
- Kernel_principal_component_analysis wikiPageWikiLinkText "Kernel Principal Component Analysis".
- Kernel_principal_component_analysis wikiPageWikiLinkText "Kernel principal component analysis".
- Kernel_principal_component_analysis wikiPageWikiLinkText "kernel PCA".
- Kernel_principal_component_analysis wikiPageWikiLinkText "kernel principal component analysis".
- Kernel_principal_component_analysis hasPhotoCollection Kernel_principal_component_analysis.
- Kernel_principal_component_analysis wikiPageUsesTemplate Template:Reflist.
- Kernel_principal_component_analysis subject Category:Kernel_methods_for_machine_learning.
- Kernel_principal_component_analysis subject Category:Machine_learning_algorithms.
- Kernel_principal_component_analysis subject Category:Multivariate_statistics.
- Kernel_principal_component_analysis subject Category:Signal_processing.
- Kernel_principal_component_analysis hypernym Extension.
- Kernel_principal_component_analysis type Software.
- Kernel_principal_component_analysis type Type.
- Kernel_principal_component_analysis type Algorithm.
- Kernel_principal_component_analysis type Field.
- Kernel_principal_component_analysis type Method.
- Kernel_principal_component_analysis type Type.
- Kernel_principal_component_analysis comment "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 done in a reproducing kernel Hilbert space with a non-linear mapping.".
- Kernel_principal_component_analysis label "Kernel principal component analysis".
- Kernel_principal_component_analysis sameAs m.02p9xp8.
- Kernel_principal_component_analysis sameAs Q17093020.
- Kernel_principal_component_analysis sameAs Q17093020.
- Kernel_principal_component_analysis wasDerivedFrom Kernel_principal_component_analysis?oldid=673787821.
- Kernel_principal_component_analysis isPrimaryTopicOf Kernel_principal_component_analysis.