dml: Distance Metric Learning in R (original) (raw)

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.

Version: 1.1.0
Depends: MASS
Imports: lfda
Suggests: testthat
Published: 2015-08-29
DOI: 10.32614/CRAN.package.dml
Author: Yuan Tang, Gao Tao, Xiao Nan
Maintainer: Yuan Tang
BugReports: https://github.com/terrytangyuan/dml/issues
License: MIT + file
URL: https://github.com/terrytangyuan/dml
NeedsCompilation: no
Materials: README
CRAN checks: dml results

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