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PPCI  

Projection Pursuit for Cluster Identification
View on CRAN: Click here


Download and install PPCI package within the R console
Install from CRAN:
install.packages("PPCI")

Install from Github:
library("remotes")
install_github("cran/PPCI")

Install by package version:
library("remotes")
install_version("PPCI", "0.1.5")



Attach the package and use:
library("PPCI")
Maintained by
David Hofmeyr
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-22
Latest Update: 2020-03-06
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) ; minimum normalised cut, Hofmeyr (2017) ; and maximum variance ratio clusterability, Hofmeyr and Pavlidis (2015) .
How to cite:
David Hofmeyr (2017). PPCI: Projection Pursuit for Cluster Identification. R package version 0.1.5, https://cran.r-project.org/web/packages/PPCI
Previous versions and publish date:
0.1.0 (2017-11-22 11:14), 0.1.1 (2018-02-16 14:43), 0.1.2 (2018-03-15 08:27), 0.1.3 (2018-10-08 12:10), 0.1.4 (2018-10-25 08:10)
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