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conclust  

Pairwise Constraints Clustering
View on CRAN: Click here


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

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

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



Attach the package and use:
library("conclust")
Maintained by
Tran Khanh Hiep
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-24
Latest Update:
Description:
There are 4 main functions in this package: ckmeans(), lcvqe(), mpckm() and ccls(). They take an unlabeled dataset and two lists of must-link and cannot-link constraints as input and produce a clustering as output.
How to cite:
Tran Khanh Hiep (2016). conclust: Pairwise Constraints Clustering. R package version 1.1, https://cran.r-project.org/web/packages/conclust. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:27), 1.0 (2016-06-24 12:20), 1.1 (2016-08-15 13:16)
Other packages that cited conclust R package
View conclust citation profile
Other R packages that conclust depends, imports, suggests or enhances
Complete documentation for conclust
Functions, R codes and Examples using the conclust R package
Some associated functions: ccls . ckmeans . conclust-package . lcvqe . mpckm . 
Some associated R codes: ccls.R . ckmeans.R . conclust-internal.R . lcvqe.R . mpckm.R .  Full conclust package functions and examples
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