A kernel version of spatial factor analysis
Based on work by Pearson in 1901, Hotelling in 1933 introduced principal component analysis (PCA). PCA is often used for general feature generation and linear orthogonalization or compression by dimensionality reduction of correlated multivariate data, see Jolliffe for a comprehensive description of...
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| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
2009
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| Online Access: | https://orbit.dtu.dk/en/publications/6b00071b-a6ae-41ef-ab6c-1d2c5b41ef06 http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=5742 |