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qcluster  

Clustering via Quadratic Scoring
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("qcluster", "1.2.1")



Attach the package and use:
library("qcluster")
Maintained by
Luca Coraggio
[Scholar Profile | Author Map]
First Published: 2024-12-06
Latest Update: 2024-12-06
Description:
Performs tuning of clustering models, methods and algorithms including the problem of determining an appropriate number of clusters. Validation of cluster analysis results is performed via quadratic scoring using resampling methods, as in Coraggio, L. and Coretto, P. (2023) <doi:10.1016/j.jmva.2023.105181>.
How to cite:
Luca Coraggio (2024). qcluster: Clustering via Quadratic Scoring. R package version 1.2.1, https://cran.r-project.org/web/packages/qcluster. Accessed 23 Feb. 2025.
Previous versions and publish date:
1.2 (2024-12-06 10:20)
Other packages that cited qcluster R package
View qcluster citation profile
Other R packages that qcluster depends, imports, suggests or enhances
Complete documentation for qcluster
Functions, R codes and Examples using the qcluster R package
Full qcluster package functions and examples
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