View source for Principal geodesic analysis

In [[Geometric data analysis|geometric data analysis]] and [[Statistical shape analysis|statistical shape analysis]], '''principal geodesic analysis''' is a generalization of [[Principal component analysis|principal component analysis]] to a [[Euclidean geometry|non-Euclidean]], non-linear setting of manifolds suitable for use with [[Shape analysis (digital geometry)#Shape descriptors|shape descriptors]] such as medial representations.
==References==
* [http://midag.cs.unc.edu/pubs/papers/TMI04_Fletcher_PGA.pdf Principal Geodesic Analysis for the Study of Nonlinear Statistics of Shape]
* [http://papers.nips.cc/paper/5133-probabilistic-principal-geodesic-analysis.pdf Probabilistic Principal Geodesic Analysis]
* [https://link.springer.com/chapter/10.1007/978-3-662-44848-9_6 Kernel Principal Geodesic Analysis]
* [https://link.springer.com/chapter/10.1007/978-3-030-33226-6_21 Mixture Probabilistic Principal Geodesic Analysis]
[[Category:Image processing]]
[[Category:Digital geometry]]
[[Category:Differential geometry]]
[[Category:Topology]]
[[Category:Factor analysis]]



{{Sourceattribution|Principal geodesic analysis}}