Tabular Maximum Likelihood Classifier

The maximum likelihood classifier (MLC) is one of the most common classifiers used for remote sensing imagery. This package uses 'RcppArmadillo' to provide a fast implementation of the MLC to train and predict over tabular data (data.frame). The algorithms were based on Mather (1985) method.


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install.packages("tabularMLC")

0.0.3 by Caio Hamamura, 16 days ago


https://github.com/caiohamamura/tabularMLC


Report a bug at https://github.com/caiohamamura/tabularMLC/issues


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


Authors: Caio Hamamura [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports stats

Depends on Rcpp, methods

Linking to Rcpp, RcppArmadillo


See at CRAN