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sclValid  

Ensemble Validation and Ranking of Clustering Methods
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sclValid", "0.1.1")



Attach the package and use:
library("sclValid")
Maintained by
Owen Visser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-16
Latest Update: 2026-09-16
Description:
Provides methods for evaluating and comparing clustering results, with an emphasis on sample-level clustering where observations are treated as the units being clustered and perturbation is performed by removing samples. The package implements internal, stability, and external validation measures and supports the comparison and ranking of clustering procedures across tuning parameter choices. It is conceptually related to the 'clValid' package, which assesses clustering stability by perturbing features; in contrast, this package focuses on perturbing the samples being clustered, making the validation framework suitable for applications such as single-cell clustering where samples or cells are the primary units of interest. Methods are based in part on Visser and Datta (2025) <doi:10.1002/sim.70331>.
How to cite:
Owen Visser (2026). sclValid: Ensemble Validation and Ranking of Clustering Methods. R package version 0.1.1, https://cran.r-project.org/web/packages/sclValid. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-09-17 01:50), 0.1.0 (2026-09-12 11:40)
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Complete documentation for sclValid
Functions, R codes and Examples using the sclValid R package
Full sclValid package functions and examples
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