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) <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>.
Depends: R (>= 2.10.0), rARPACK
License: GPL-3
Encoding: UTF-8
LazyData: yes
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-03-06 09:20:06 UTC; dhofmeyr
Repository: CRAN
Date/Publication: 2020-03-06 10:10:01 UTC