Hierarchical Independent Component Analysis: a Multi-Scale Sparse Non-Orthogonal Data-Driven Basis

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.


Reference manual

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1.0.2 by Paolo Zanini, 6 years ago

Browse source code at https://github.com/cran/fastHICA

Authors: Piercesare Secchi , Simone Vantini , and Paolo Zanini

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on fastICA, energy

See at CRAN