dml: Distance Metric Learning in R
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.

Getting started

Package details

AuthorYuan Tang <[email protected]>, Gao Tao <[email protected]>, Xiao Nan <[email protected]>
Date of publication2015-08-29 13:14:59
MaintainerYuan Tang <[email protected]>
LicenseMIT + file LICENSE
Version1.1.0
URL https://github.com/terrytangyuan/dml
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("dml")

Try the dml package in your browser

Any scripts or data that you put into this service are public.

dml documentation built on May 29, 2017, 7:53 p.m.