PPCI: Projection Pursuit for Cluster Identification

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>.

Package details

AuthorDavid Hofmeyr <dhofmeyr@sun.ac.za> [aut, cre] Nicos Pavlidis <n.pavlidis@lancaster.ac.uk> [aut]
MaintainerDavid Hofmeyr <dhofmeyr@sun.ac.za>
Package repositoryView on CRAN
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PPCI documentation built on March 13, 2020, 3:27 a.m.