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
Browse package contents
Package details |
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| Author | David Hofmeyr <dhofmeyr@sun.ac.za> [aut, cre] Nicos Pavlidis <n.pavlidis@lancaster.ac.uk> [aut] |
| Maintainer | David Hofmeyr <dhofmeyr@sun.ac.za> |
| License | GPL-3 |
| Version | 0.1.5 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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