Package: clv 0.3-2.4
Lukasz Nieweglowski
clv: Cluster Validation Techniques
Package contains most of the popular internal and external cluster validation methods ready to use for the most of the outputs produced by functions coming from package "cluster". Package contains also functions and examples of usage for cluster stability approach that might be applied to algorithms implemented in "cluster" package as well as user defined clustering algorithms.
Authors:
clv_0.3-2.4.tar.gz
clv_0.3-2.4.tar.gz(r-4.5-noble)clv_0.3-2.4.tar.gz(r-4.4-noble)
clv_0.3-2.4.tgz(r-4.4-emscripten)clv_0.3-2.4.tgz(r-4.3-emscripten)
clv.pdf |clv.html✨
clv/json (API)
| # Install 'clv' in R: |
| install.packages('clv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:1f6bff5fa7. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 29 2024 |
Exports:bcls.matrixcls.algcls.attribcls.scatt.datacls.scatt.diss.mxcls.set.sectioncls.stab.opt.assigncls.stab.opt.assign.usrcls.stab.sim.indcls.stab.sim.ind.usrclv.Davies.Bouldinclv.DensBwclv.Disclv.Dunnclv.Folkes.Mallowsclv.Jaccardclv.Phiclv.Randclv.Russel.Raoclv.Scattclv.SDclv.SDbwconfusion.matrixconnectivityconnectivity.diss.mxdot.productsimilarity.indexstd.extwcls.matrix
