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FisherEM

1.6

The FisherEM Algorithm to Simultaneously Cluster and Visualize High-Dimensional Data

0packages depend
3.1Kdownloads / year
44.1%test coverage
11/13checks pass

Overview

About
Maintained by Charles BouveyronFirst published 2011-05-1111 releasesCRAN page ↗

The FisherEM algorithm, proposed by Bouveyron & Brunet (2012) doi:10.1007/s11222-011-9249-9, is an efficient method for the clustering of high-dimensional data. FisherEM models and clusters the data in a discriminative and low-dimensional latent subspace. It also provides a low-dimensional representation of the clustered data. A sparse version of Fisher-EM algorithm is also provided.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.5 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.10
44.1%
Coverage · measured lines
100%
Documentation · exports
6
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
88%
Documented parameters
100%
Return-value docs
75%
References docs
33%

Downloads

3.1K
CRAN downloads in the past year
Rank #13,632 · ~8/day · ~258/mo
Daily download trend is not available in this view yet.
18330 days
74790 days
3.1K1 year
Compare downloads with other packages →
Also on99 r2u23 autocran28 c2d4u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (4)
MASSparallelelasticnetggplot2
Imports (2)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (4)
no longer listed · 1.2 to 1.6
no longer listed · 1.2 to 1.5.1
no longer listed · 1.5.2 to 1.6
Package Timeline

11 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.6Latest
    2020-09-28 · current release · diff ↗
  • 1.5.2
    2020-07-22 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 1.5.1
    2018-10-11 · diff ↗
  • 1.5
    2018-10-09 · diff ↗
  • unarchivedReturned to CRAN
    2018-10-09
  • archivedRemoved from CRAN
    2018-05-03
    check problems were not corrected despite reminders
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
Show 14 earlier events
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 1.4
    2013-06-28 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • 1.3.2
    2013-02-21 · diff ↗
  • 1.3.1
    2013-02-20 · diff ↗
  • 1.3
    2013-02-13 · diff ↗
  • 1.2
    2012-07-13 · diff ↗
  • R
    R 2.15.0 released · 2012-03-30
  • R
    R 2.14.0 released · 2011-10-31
  • 1.1.2
    2011-05-29 · diff ↗
  • 1.0
    2011-05-11
  • R
    R 2.13.0 released · 2011-04-13

Package metadata

First published
2011-05-11
Total releases
11 / 15 yrs
License
GPL-2 OSI
Download size
104 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FisherEM")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FisherEM version 1.6 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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