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Principal geodesic analysis
From Wikipedia, the free encyclopedia
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In geometric data analysis and statistical shape analysis, principal geodesic analysis is a generalization of principal component analysis to a non-Euclidean, non-linear setting of manifolds suitable for use with shape descriptors such as medial representations.
 | This article includes a list of references, related reading, or external links, but its sources remain unclear because it lacks inline citations. (May 2024) |
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References
- Principal Geodesic Analysis for the Study of Nonlinear Statistics of Shape
- Probabilistic Principal Geodesic Analysis
- Kernel Principal Geodesic Analysis
- Mixture Probabilistic Principal Geodesic Analysis
 | This statistics-related article is a stub. You can help Wikipedia by expanding it. |
 | This geometry-related article is a stub. You can help Wikipedia by expanding it. |
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