It implements HICA (Hierarchical Independent Component Analysis) algorithm. This approach, obtained through the integration between treelets and Independent Component Analysis, is able to provide a multi-scale non-orthogonal data-driven basis, whose elements have a phenomenological interpretation according to the problem under study.
|Author||Piercesare Secchi, Simone Vantini, and Paolo Zanini|
|Date of publication||2015-05-12 11:39:40|
|Maintainer||Paolo Zanini <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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