Package: qcluster 1.2.1

Luca Coraggio

qcluster: Clustering via Quadratic Scoring

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>.

Authors:Luca Coraggio [cre, aut], Pietro Coretto [aut]

qcluster_1.2.1.tar.gz
qcluster_1.2.1.tar.gz(r-4.5-noble)qcluster_1.2.1.tar.gz(r-4.4-noble)
qcluster_1.2.1.tgz(r-4.4-emscripten)qcluster_1.2.1.tgz(r-4.3-emscripten)
qcluster.pdf |qcluster.html✨
qcluster/json (API)
NEWS

# Install 'qcluster' in R:
install.packages('qcluster', repos = 'https://cloud.r-project.org')
Uses libs:
  • openblas– Optimized BLAS
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas

1.30 score 161 downloads 12 exports 5 dependencies

Last updated 3 months agofrom:1949739e81. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 15 2025
R-4.5-linux-x86_64OKMar 15 2025
R-4.4-linux-x86_64OKMar 15 2025

Exports:bqsbqs_rankbqs_selectclust2paramsgmixmbindmset_gmixmset_kmeansmset_pammset_userplot_clusteringqscore

Dependencies:clustercodetoolsdoParallelforeachiterators

Citation

To cite package 'rclust' in publications use:

Coraggio, Luca and Pietro Coretto (2023). Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score. Journal of Multivariate Analysis, Vol. 196(105181), 1-20. url: https://doi.org/10.1016/j.jmva.2023.105181

Coraggio, Luca and Pietro Coretto (2024). qcluster: Clustering via Quadratic Scoring.R package version 1.2.1url: https://CRAN.R-project.org/package=rclust

Corresponding BibTeX entries: 

  @Article{,
    title = {Selecting the number of clusters, clustering models, and
      algorithms. {A} unifying approach based on the quadratic
      discriminant score},
    author = {Luca Coraggio and Pietro Coretto},
    year = {2023},
    journal = {Journal of Multivariate Analysis},
    volume = {196},
    number = {105181},
    pages = {1-20},
    doi = {10.1016/j.jmva.2023.105181},
    url = {https://doi.org/10.1016/j.jmva.2023.105181},
  }

  @Manual{,
    title = {qcluster: Clustering via Quadratic Scoring},
    author = {Luca Coraggio and Pietro Coretto},
    year = {2024},
    note = {R package version 1.2.1},
  }