Distance Metric Learning in R R package dml version 1.1.0 The state-of-the-art algorithms for distance metric learning, including global and local methods such as Relevant Component Analysis, Discriminative Component Analysis, Local Fisher Discriminant Analysis, etc. These distance metric learning methods are widely applied in feature extraction, dimensionality reduction, clustering, classification, information retrieval, and computer vision problems. Software Depends: MASS Imports: lfda Suggests: testthat Yuan Tang <terrytangyuan@gmail.com> Comprehensive R Archive Network (CRAN) Yuan Tang <terrytangyuan@gmail.com>, Gao Tao <joegaotao@gmail.com>, Xiao Nan <road2stat@gmail.com> MIT + file LICENSE (https://CRAN.R-project.org/package=dml/LICENSE) 2015-08-29 application/tgz https://CRAN.R-project.org/package=dml doi:10.32614/CRAN.package.dml