Package: dml
Version: 1.1.0
Date: 2015-08-26
Title: Distance Metric Learning in R
Description: 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.
Depends: MASS
Imports: lfda
Suggests: testthat
Author: Yuan Tang <terrytangyuan@gmail.com>, Gao Tao <joegaotao@gmail.com>, Xiao Nan <road2stat@gmail.com>
Maintainer: Yuan Tang <terrytangyuan@gmail.com>
License: MIT + file LICENSE
URL: https://github.com/terrytangyuan/dml
BugReports: https://github.com/terrytangyuan/dml/issues
NeedsCompilation: no
Packaged: 2015-08-28 15:32:47 UTC; Yuan
Repository: CRAN
Date/Publication: 2015-08-29 13:14:59
Built: R 4.3.3; ; 2025-01-24 06:42:49 UTC; unix
