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About
Provide regularized principal component analysis incorporating smoothness, sparseness and orthogonality of eigen-functions by using the alternating direction method of multipliers algorithm (Wang and Huang, 2017, doi:10.1080/10618600.2016.1157483). The method can be applied to either regularly or irregularly spaced data, including 1D, 2D, and 3D.
| github.com/egpivo/SpatPCA | |
| System requirements | GNU make |
| Bug report | File report |
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