Projection Pursuit for Cluster Identification R package PPCI version 0.1.5 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) <http://jmlr.org/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>. Software Depends: R (>= 2.10.0), rARPACK David Hofmeyr <dhofmeyr@sun.ac.za> Comprehensive R Archive Network (CRAN) David Hofmeyr <dhofmeyr@sun.ac.za> [aut, cre] Nicos Pavlidis <n.pavlidis@lancaster.ac.uk> [aut] GPL-3 2020-03-06 application/tgz https://CRAN.R-project.org/package=PPCI doi:10.32614/CRAN.package.PPCI