Provide regularized principal component analysis incorporating smoothness, sparseness and orthogonality of eigenfunctions by using the alternating direction method of multipliers algorithm. The method can be applied to either regularly or irregularly spaced data (Wang and Huang, 2017).
|Author||Wen-Ting Wang, Hsin-Cheng Huang|
|Date of publication||2017-03-18 00:20:28 UTC|
|Maintainer||Wen-Ting Wang <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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