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

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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 <paolo.zanini@polimi.it>
License
GPL (>= 2)
Version
1.0.2

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Man pages

basis_hica
Construction of the HICA basis
energy_hica
Energy criterion
extract_hica
Extraction of score and loading matrices.
similarity_hica
Estimate of the similarity matrix

Files in this package

fastHICA
fastHICA/NAMESPACE
fastHICA/R
fastHICA/R/energy_hica.R
fastHICA/R/extract_hica.R
fastHICA/R/similarity_hica.R
fastHICA/R/basis_hica.R
fastHICA/MD5
fastHICA/DESCRIPTION
fastHICA/man
fastHICA/man/basis_hica.Rd
fastHICA/man/similarity_hica.Rd
fastHICA/man/extract_hica.Rd
fastHICA/man/energy_hica.Rd