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 .


Reference manual

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1.6 by Stefano Cacciatore, a month ago

Browse source code at

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