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-x86_64)PPCI_0.1.5.zip(r-4.7-arm64)PPCI_0.1.5.zip(r-4.6-x86_64)PPCI_0.1.5.zip(r-4.6-arm64)
PPCI_0.1.5.tgz(r-4.6-x86_64)PPCI_0.1.5.tgz(r-4.6-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 279 downloads 44 exports 7 dependencies

Last updated from:aa8fa12f6c. Checks:10 WARNING, 2 OK, 3 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING142
linux-devel-x86_64WARNING127
source / vignettesOK186
linux-release-arm64WARNING138
linux-release-x86_64WARNING123
macos-release-arm64WARNING122
macos-release-x86_64WARNING331
macos-oldrel-arm64FAIL124
macos-oldrel-x86_64FAIL259
windows-devel-arm64WARNING253
windows-devel-x86_64WARNING197
windows-release-arm64WARNING226
windows-release-x86_64WARNING133
windows-oldrel-x86_64FAIL56
wasm-releaseOK98

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