Distance Metric Learning in R
Overview
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.
- Added Semi-supervised Local Fisher Discriminant Analysis (SELF) algorithm
- Existing algorithms in this package are tested
From NEWS in the release
Install
Health
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) dca.Rd:24: Lost braces; missing escapes or markup?
24 | \eqn{neglinks_{ij} = 1} means chunklet \code{i} and chunklet {j}
| ^
checkRd: (-1) dca.Rd:26: Lost braces; missing escapes or markup?
26 | \eqn{neglinks_{ij} = 0} means chunklet \code{i} and chunklet {j}
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checkRd: (-1) rca.Rd:57: Lost braces; missing escapes or markup?
57 | e.g. {1, 3, 7} and {4, 6}, might belong to the
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checkRd: (-1) rca.Rd:57: Lost braces; missing escapes or markup?
57 | e.g. {1, 3, 7} and {4, 6}, might belong to the
| ^NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Yuan Tang <terrytangyuan@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Yuan",
family = "Tang",
role = c("aut", "cre"),
email = "terrytangyuan@gmail.com"),
person(given = "Gao",
family = "Tao",
role = "aut",
email = "joegaotao@gmail.com"),
person(given = "Xiao",
family = "Nan",
role = "aut",
email = "road2stat@gmail.com"))
as necessary.- NOTE13 NOTENow
- NOTE14 NOTE2026-03-10
Documentation
- Help pages
- 4
- Examples that run
- 0%4 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
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Downloads
Repository
- PRs merged (all time)
- 77%
- Median days to close, 50 most recently updated closed issues
- 1
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- 0
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7 development-tooling and community-health practices detected across 4 families in the upstream repository
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Funding links: GitHub Sponsors
The repository owner accepts GitHub Sponsors
Dependencies
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 1.1.0Latest2015-08-29 · current release
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2015-08-29
- Total releases
- 1 / 11 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 12 KB
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