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.
| Version: | 1.0.2 |
| Depends: | fastICA, energy |
| Published: | 2015-05-12 |
| Author: | Piercesare Secchi, Simone Vantini, and Paolo Zanini |
| Maintainer: | Paolo Zanini <paolo.zanini at polimi.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | fastHICA results |
| Reference manual: | fastHICA.pdf |
| Package source: | fastHICA_1.0.2.tar.gz |
| Windows binaries: | r-devel: fastHICA_1.0.2.zip, r-release: fastHICA_1.0.2.zip, r-oldrel: fastHICA_1.0.2.zip |
| macOS binaries: | r-release: fastHICA_1.0.2.tgz, r-oldrel: fastHICA_1.0.2.tgz |
| Old sources: | fastHICA archive |
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