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FisherEM  

The FisherEM Algorithm to Simultaneously Cluster and Visualize High-Dimensional Data
View on CRAN: Click here


Download and install FisherEM package within the R console
Install from CRAN:
install.packages("FisherEM")

Install from Github:
library("remotes")
install_github("cran/FisherEM")

Install by package version:
library("remotes")
install_version("FisherEM", "1.6")



Attach the package and use:
library("FisherEM")
Maintained by
Charles Bouveyron
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-05-11
Latest Update: 2020-09-28
Description:
The FisherEM algorithm, proposed by Bouveyron & Brunet (2012) , 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.
How to cite:
Charles Bouveyron (2011). FisherEM: The FisherEM Algorithm to Simultaneously Cluster and Visualize High-Dimensional Data. R package version 1.6, https://cran.r-project.org/web/packages/FisherEM. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0 (2011-05-11 17:03), 1.1.2 (2011-05-29 20:39), 1.2 (2012-07-13 05:08), 1.3.1 (2013-02-20 08:04), 1.3.2 (2013-02-21 17:36), 1.3 (2013-02-13 07:57), 1.4 (2013-06-28 18:44), 1.5.1 (2018-10-11 12:10), 1.5.2 (2020-07-22 10:42), 1.5 (2018-10-09 17:20)
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