A collection of routines created in the collaboration framework in tourism innovation between the Valencian Tourism Agency (AVT) <http://www.turisme.gva.es/opencms/opencms/turisme/es/index.jsp> and the Miguel Hernandez University. The package provides a set of machine learning tools for pattern detection, association and classification rules and feature selection even under massive data environments. Almiñana, Escudero, Pérez-Martín, Rabasa, and Santamaría (2014) <doi:10.1007/s11750-012-0264-6>.
Version: | 0.1.3 |
Depends: | R (≥ 3.3.0) |
Imports: | NbClust, dplyr, formula.tools, magrittr, arules, rpart, FSelectorRcpp, crayon, ggplot2, rpart.plot |
Suggests: | spelling, testthat |
Published: | 2019-03-15 |
Author: | Agustin Perez-Martin
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Maintainer: | Agustin Perez-Torregrosa <agustin.perez01 at goumh.umh.es> |
License: | AGPL-3 |
URL: | https://datascienceumh.github.io/MachineLearning/ |
NeedsCompilation: | no |
Language: | en-GB |
Materials: | NEWS |
CRAN checks: | MachineLearning results |
Reference manual: | MachineLearning.pdf |
Package source: | MachineLearning_0.1.3.tar.gz |
Windows binaries: | r-devel: MachineLearning_0.1.3.zip, r-devel-gcc8: MachineLearning_0.1.3.zip, r-release: MachineLearning_0.1.3.zip, r-oldrel: MachineLearning_0.1.3.zip |
OS X binaries: | r-release: MachineLearning_0.1.3.tgz, r-oldrel: MachineLearning_0.1.3.tgz |
Old sources: | MachineLearning archive |
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