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EnsCat  

Clustering of Categorical Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EnsCat", "1.1")



Attach the package and use:
library("EnsCat")
Maintained by
Saeid Amiri
[Scholar Profile | Author Map]
First Published: 2017-01-18
Latest Update: 2017-02-01
Description:
An implementation of the clustering methods of categorical data discussed in Amiri, S., Clarke, B., and Clarke, J. (2015). Clustering categorical data via ensembling dissimilarity matrices. Preprint .
How to cite:
Saeid Amiri (2017). EnsCat: Clustering of Categorical Data. R package version 1.1, https://cran.r-project.org/web/packages/EnsCat. Accessed 19 Feb. 2025.
Previous versions and publish date:
1.0 (2017-01-18 18:07)
Other packages that cited EnsCat R package
View EnsCat citation profile
Other R packages that EnsCat depends, imports, suggests or enhances
Complete documentation for EnsCat
Functions, R codes and Examples using the EnsCat R package
Some associated functions: Benhc . CTN . EnsCat-package . USFlag . alphadata . cancer . ebola . enhcHi . ggdplot . hammingD . kmodes . lympho . mush . rhabdodata . soybean . tangle . zoo . 
Some associated R codes: Benhc.R . CTN.R . General.R . enhcHi.R . ggdplot.R . kmodes.R . tangle.R .  Full EnsCat package functions and examples
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