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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "PPCI" in publications use:'
type: software
license: GPL-3.0-only
title: 'PPCI: Projection Pursuit for Cluster Identification'
version: 0.1.5
doi: 10.32614/RJ-2019-046
identifiers:
- type: doi
  value: 10.32614/CRAN.package.PPCI
abstract: 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) <https://doi.org/10.1109/TPAMI.2016.2609929>;
  and maximum variance ratio clusterability, Hofmeyr and Pavlidis (2015) <https://doi.org/10.1109/SSCI.2015.116>.
authors:
- family-names: Hofmeyr
  given-names: David
  email: dhofmeyr@sun.ac.za
preferred-citation:
  type: article
  title: 'PPCI: an R Package for Cluster Identification using Projection Pursuit'
  authors:
  - family-names: Hofmeyr
    given-names: David P.
  - family-names: Pavlidis
    given-names: Nicos G.
  journal: The R Journal
  year: '2019'
  doi: 10.32614/RJ-2019-046
  url: https://journal.r-project.org/archive/2019/RJ-2019-046/index.html
repository: https://davidhofmeyr.r-universe.dev
commit: aa8fa12f6ccac9c0355c7f560c2466e6f3609be1
contact:
- family-names: Hofmeyr
  given-names: David
  email: dhofmeyr@sun.ac.za