KODAMA: an R package for knowledge discovery and data mining

Stefano CacciatoreDavid A MacIntyre


KODAMA, a novel learning algorithm for unsupervised feature extraction, is specifically designed for analysing noisy and high-dimensional datasets. Here we present an R package of the algorithm with additional functions that allow improved interpretation of high-dimensional data. The package requires no additional software and runs on all major platforms. KODAMA is freely available from the R archive CRAN ( http://cran.r-project.org ). The software is distributed under the GNU General Public License (version 3 or later). s.cacciatore@imperial.ac.uk. Supplementary data are available at Bioinformatics online.


Apr 8, 2014·Proceedings of the National Academy of Sciences of the United States of America·Stefano CacciatoreLeonardo Tenori
Oct 18, 2014·Cancer Research·Carmen PrioloMassimo Loda

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R Programming Language

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