Package: PPCI
Type: Package
Title: Projection Pursuit for Cluster Identification
Version: 0.1.2
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)
License: GPL-3
Encoding: UTF-8
LazyData: yes
Imports: rARPACK
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-15 07:06:34 UTC; dhofmeyr
Repository: CRAN
Date/Publication: 2018-03-15 07:27:49 UTC