Package: PPCI
Type: Package
Title: Projection Pursuit for Cluster Identification
Version: 0.1.5
Author: David Hofmeyr <dhofmeyr@sun.ac.za> [aut, cre] Nicos Pavlidis
        <n.pavlidis@lancaster.ac.uk> [aut]
Maintainer: David Hofmeyr <dhofmeyr@sun.ac.za>
Description: 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>.
Depends: R (>= 2.10.0)
Imports: Rcpp (>= 0.12.16), RcppArmadillo, rARPACK
LinkingTo: Rcpp, RcppArmadillo
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Repository: https://davidhofmeyr.r-universe.dev
Date/Publication: 2020-03-06 07:03:53 UTC
RemoteUrl: https://github.com/davidhofmeyr/ppci
RemoteRef: HEAD
RemoteSha: aa8fa12f6ccac9c0355c7f560c2466e6f3609be1
NeedsCompilation: yes
Packaged: 2026-07-03 13:11:31 UTC; root