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Multiview PCA: A Methodology of Feature Extraction and Dimension Reduction for High-Order Data

Research article (IEEE Transactions on Cybernetics, 2021) · cited 71× · AI/ML
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Multiview PCA: A Methodology of Feature Extraction and Dimension Reduction for High-Order Data

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Multiview PCA: A Methodology of Feature Extraction and Dimension Reduction for High-Order Data is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Multiview PCA: A Methodology of Feature Extraction and Dimension Reduction for High-Order Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/multiview-pca-a-methodology-of-feature-extraction-and-dimension-reduction-for-high-order-data
MLA “Multiview PCA: A Methodology of Feature Extraction and Dimension Reduction for High-Order Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multiview-pca-a-methodology-of-feature-extraction-and-dimension-reduction-for-high-order-data.
BibTeX @misc{4ortxyz_multiview-pca-a-methodology-of-feature-extraction-and-dimension-reduction-for-high-order-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multiview PCA: A Methodology of Feature Extraction and Dimension Reduction for High-Order Data}}, year = {2026}, url = {https://4ort.xyz/entity/multiview-pca-a-methodology-of-feature-extraction-and-dimension-reduction-for-high-order-data}, note = {Accessed: 2026-05-24}}
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