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:David Hofmeyr <[email protected]> [aut, cre] Nicos Pavlidis <[email protected]> [aut]

PPCI_0.1.5.tar.gz
PPCI_0.1.5.zip(r-4.7)PPCI_0.1.5.zip(r-4.6)PPCI_0.1.5.zip(r-4.5)
PPCI_0.1.5.tgz(r-4.6-x86_64)PPCI_0.1.5.tgz(r-4.6-arm64)PPCI_0.1.5.tgz(r-4.5-x86_64)PPCI_0.1.5.tgz(r-4.5-arm64)
PPCI_0.1.5.tar.gz(r-4.7-arm64)PPCI_0.1.5.tar.gz(r-4.7-x86_64)PPCI_0.1.5.tar.gz(r-4.6-arm64)PPCI_0.1.5.tar.gz(r-4.6-x86_64)
PPCI_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • breastcancer - Discrimination of Cancerous and Non-Cancerous Breast Masses
  • dermatology - Eryhemato-Squamous Disease Identification
  • optidigits - Optical Recognition of Handwritten Digits
  • pendigits - Pen-based Recognition of Handwritten Digits
  • phoneme - Speech Recognition through Phoneme Identification
  • yale - Face Recognition

On CRAN:

Conda:

openblascpp

3.28 score 2 stars 19 scripts 301 downloads 44 exports 7 dependencies

Last updated from:aa8fa12f6c. Checks:8 WARNING, 2 OK, 3 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING194
linux-devel-x86_64WARNING184
source / vignettesOK193
linux-release-arm64WARNING182
linux-release-x86_64WARNING149
macos-release-arm64WARNING166
macos-release-x86_64WARNING420
macos-oldrel-arm64FAIL59
macos-oldrel-x86_64FAIL142
windows-develWARNING138
windows-releaseWARNING136
windows-oldrelFAIL54
wasm-releaseOK137

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