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:Lukasz Nieweglowski <[email protected]>

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'))

Peer review:

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

4.71 score 1 stars 17 packages 143 scripts 2.3k downloads 3 mentions 29 exports 3 dependencies

Last updated 1 years agofrom:1f6bff5fa7. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-linux-x86_64NOTENov 28 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

Dependencies:classclusterMASS