General Information
| Description | An R package for knowledge discovery and data mining |
| Homepage | http://cran.r-project.org |
Publications
KODAMA: an R package for knowledge discovery and data mining
Summary:
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.
Availability and Implementation:
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).
Contact:
s.cacciatore@imperial.ac.uk
Supplementary information:
Supplementary data are available at Bioinformatics online.
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