swMATH ID: 36581
Software Authors: David Hofmeyr; Nicos Pavlidis
Description: R package 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>.
Homepage: https://cran.r-project.org/web/packages/PPCI/index.html
Source Code:  https://github.com/cran/PPCI
Dependencies: R
Related Software: kohonen; mclust; apcluster; NbClust; R; TCLUST; pdfCluster; EMCluster; AS 136; dbscan; densityClust; CEC; plotly; rgl; MATLAB R-Link; rpy2; parallelDist; FCPS; CRAN; DatabionicSwarm
Cited in: 1 Publication

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