DESCRIPTION

Package: dml
Type: Package
Title: Distance Metric Learning in R
Version: 1.1.0.9001
Authors@R: c(
    person("Yuan", "Tang", email = "terrytangyuan@gmail.com",
           role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5243-233X")),
    person("Tao", "Gao", email = "joegaotao@gmail.com", role = c("aut")),
    person("Nan", "Xiao", email = "me@nanx.me",
           role = c("aut"), comment = c(ORCID = "0000-0002-0250-5673")))
Maintainer: Yuan Tang <terrytangyuan@gmail.com>
Description: 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.
License: MIT + file LICENSE
URL: https://github.com/terrytangyuan/dml
Encoding: UTF-8
Imports:
    lfda
Suggests:
    MASS,
    scatterplot3d,
    lintr,
    testthat
BugReports: https://github.com/terrytangyuan/dml/issues
RoxygenNote: 6.1.0