terrytangyuan/dml: Distance Metric Learning in R

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]>, Tao Gao <[email protected]>, Nan Xiao <[email protected]>
MaintainerYuan Tang <[email protected]>
LicenseMIT + file LICENSE
URL https://github.com/terrytangyuan/dml
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
terrytangyuan/dml documentation built on July 17, 2017, 10:35 a.m.