 | This article includes a
list of references,
related reading, or
external links, but its sources remain unclear because it lacks
inline citations. (May 2024) |
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.
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. |
| This article includes a
list of references,
related reading, or
external links, but its sources remain unclear because it lacks
inline citations. (May 2024) |
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.
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. |