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PPCI

Projection Pursuit for Cluster Identification

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About

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) ; 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.

Citation PPCI citation info

Key Metrics

Version 0.1.5
R ≥ 2.10.0
Published 2020-03-06 1514 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

David Hofmeyr

dhofmeyr@sun.ac.za

Authors

David Hofmeyr

aut

cre]Nicos
Pavlidis

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

PPCI archive

Depends

R ≥ 2.10.0
rARPACK

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