DavidHofmeyr/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) <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>.

Getting started

Package details

AuthorDavid Hofmeyr <[email protected]> [aut, cre] Nicos Pavlidis <[email protected]> [aut]
MaintainerDavid Hofmeyr <[email protected]>
LicenseGPL-3
Version0.1.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("DavidHofmeyr/PPCI")
DavidHofmeyr/PPCI documentation built on Oct. 26, 2018, 3:42 a.m.