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
Repository: https://terrytangyuan.r-universe.dev
Date/Publication: 2023-07-07 16:55:45 UTC
RemoteUrl: https://github.com/terrytangyuan/dml
RemoteRef: HEAD
RemoteSha: 68558d8b81d5cbb12ec7fe83642186f1c11576c4
NeedsCompilation: no
Packaged: 2026-06-18 09:17:27 UTC; root
Author: Yuan Tang [aut, cre] (ORCID: <https://orcid.org/0000-0001-5243-233X>),
  Tao Gao [aut],
  Nan Xiao [aut] (ORCID: <https://orcid.org/0000-0002-0250-5673>)