Package: PPCI 0.1.5
David Hofmeyr
PPCI: Projection Pursuit for Cluster Identification
Implements recently developed projection pursuit algorithms for finding optimal linear cluster separators. The clustering algorithms use optimal hyperplane separators based on minimum density, Pavlidis et. al (2016) <https://jmlr.csail.mit.edu/papers/volume17/15-307/15-307.pdf>; minimum normalised cut, Hofmeyr (2017) <doi:10.1109/TPAMI.2016.2609929>; and maximum variance ratio clusterability, Hofmeyr and Pavlidis (2015) <doi:10.1109/SSCI.2015.116>.
Authors:
PPCI_0.1.5.tar.gz
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PPCI_0.1.5.tgz(r-4.4-x86_64)PPCI_0.1.5.tgz(r-4.4-arm64)PPCI_0.1.5.tgz(r-4.3-x86_64)PPCI_0.1.5.tgz(r-4.3-arm64)
PPCI_0.1.5.tar.gz(r-4.5-noble)PPCI_0.1.5.tar.gz(r-4.4-noble)
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PPCI.pdf |PPCI.html✨
PPCI/json (API)
# Install 'PPCI' in R: |
install.packages('PPCI', repos = c('https://davidhofmeyr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/davidhofmeyr/ppci/issues
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Last updated 5 years agofrom:aa8fa12f6c. Checks:OK: 1 WARNING: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win-x86_64 | WARNING | Nov 13 2024 |
R-4.5-linux-x86_64 | WARNING | Nov 13 2024 |
R-4.4-win-x86_64 | WARNING | Nov 13 2024 |
R-4.4-mac-x86_64 | WARNING | Nov 13 2024 |
R-4.4-mac-aarch64 | WARNING | Nov 13 2024 |
R-4.3-win-x86_64 | WARNING | Nov 13 2024 |
R-4.3-mac-x86_64 | WARNING | Nov 13 2024 |
R-4.3-mac-aarch64 | WARNING | Nov 13 2024 |
Exports:add_subtreecluster_performancedf_mcdf_mddf_md_cppdf_ncutdncut_xf_mcf_mdf_md_cppf_ncuthp_plotis_minimismin_cppmc_bmcdcmcdrmchmcppmd_bmd_b_cppmd_reldepthmddcmddrmdhmdppncut_bncut_xncutdcncutdrncuthncutppnode_plotnorm_vecoptidigits_mean_imagesplot.ppci_cluster_solutionplot.ppci_hyperplane_solutionplot.ppci_projection_solutionppclust.optimsubtree_widthsuccess_ratiotree_plottree_prunetree_split
Dependencies:latticeMatrixrARPACKRcppRcppArmadilloRcppEigenRSpectra