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✨
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 192 downloads 44 exports 7 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING168
linux-devel-x86_64WARNING151
source / vignettesOK218
linux-release-arm64WARNING193
linux-release-x86_64WARNING152
macos-release-arm64WARNING130
macos-release-x86_64WARNING338
macos-oldrel-arm64FAIL108
macos-oldrel-x86_64FAIL223
windows-develWARNING175
windows-releaseWARNING137
windows-oldrelFAIL57
wasm-releaseOK116

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