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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) <doi:10.1080/01431168508948456> method.
Package details |
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Author | Caio Hamamura [aut, cre] (<https://orcid.org/0000-0001-6149-5885>) |
Maintainer | Caio Hamamura <caiohamamura@gmail.com> |
License | GPL-3 |
Version | 0.0.3 |
URL | https://github.com/caiohamamura/tabularMLC |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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