Package: ClusterStability 1.0.4
ClusterStability: Assessment of Stability of Individual Objects or Clusters in Partitioning Solutions
Allows one to assess the stability of individual objects, clusters and whole clustering solutions based on repeated runs of the K-means and K-medoids partitioning algorithms.
Authors:
ClusterStability_1.0.4.tar.gz
ClusterStability_1.0.4.zip(r-4.5)ClusterStability_1.0.4.zip(r-4.4)ClusterStability_1.0.4.zip(r-4.3)
ClusterStability_1.0.4.tgz(r-4.4-x86_64)ClusterStability_1.0.4.tgz(r-4.4-arm64)ClusterStability_1.0.4.tgz(r-4.3-x86_64)ClusterStability_1.0.4.tgz(r-4.3-arm64)
ClusterStability_1.0.4.tar.gz(r-4.5-noble)ClusterStability_1.0.4.tar.gz(r-4.4-noble)
ClusterStability_1.0.4.tgz(r-4.4-emscripten)ClusterStability_1.0.4.tgz(r-4.3-emscripten)
ClusterStability.pdf |ClusterStability.html✨
ClusterStability/json (API)
NEWS
# Install 'ClusterStability' in R: |
install.packages('ClusterStability', repos = c('https://armadillouqam.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 2 years agofrom:622fa5671c. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win-x86_64 | OK | Nov 07 2024 |
R-4.5-linux-x86_64 | OK | Nov 07 2024 |
R-4.4-win-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-aarch64 | OK | Nov 07 2024 |
R-4.3-win-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:calculate_indicescalculate_individual_PSGcalculate_individual_PSG_approximativecalculate_individual_PSG_exactcalculate_singletoncalinski_harabasz_scoreClusterStabilityClusterStability_exactdavies_bouldin_scoredunn_scoreis_partition_groupKcombinationp_n_kp_tilde_n_kReorderStirling2nd
Dependencies:ADGofTestbootclustercodetoolscolorspacecopuladigestdoFuturefastclusterforeachfuturefuture.applyglobalsgsliteratorslatticelistenvMASSMatrixmgcvmvtnormnlmennetnumDerivparallellypcaPPpermuteprogressrpsplineRColorBrewerRcppstabledistTraMineRveganvegclustWeightedCluster