Knowledge Discovery by Accuracy Maximization

An unsupervised and semi-supervised learning algorithm that performs feature extraction from noisy and high-dimensional data. It facilitates identification of patterns representing underlying groups on all samples in a data set. Based on Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA. (2017) Bioinformatics and Cacciatore S, Luchinat C, Tenori L. (2014) Proc Natl Acad Sci USA .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("KODAMA")

1.6 by Stefano Cacciatore, a month ago


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


Authors: Stefano Cacciatore [aut, trl, cre] , Leonardo Tenori [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp

Depends on stats

Suggests rgl, knitr, rmarkdown

Linking to Rcpp, RcppArmadillo


See at CRAN