Package: qcluster 1.2
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:
qcluster_1.2.tar.gz
qcluster_1.2.tar.gz(r-4.5-noble)qcluster_1.2.tar.gz(r-4.4-noble)
qcluster_1.2.tgz(r-4.4-emscripten)qcluster_1.2.tgz(r-4.3-emscripten)
qcluster.pdf |qcluster.html✨
qcluster/json (API)
NEWS
| # Install 'qcluster' in R: |
| install.packages('qcluster', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- banknote - Swiss Banknotes Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 17 days agofrom:d90b32adc4. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 06 2024 |
| R-4.5-linux-x86_64 | OK | Dec 06 2024 |
Exports:bqsbqs_rankbqs_selectclust2paramsgmixmbindmset_gmixmset_kmeansmset_pammset_userplot_clusteringqscore
Dependencies:clustercodetoolsdoParallelforeachiterators
