PPCI 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 Cited by 2 Authors 1 Thrun, Michael C. 1 Ultsch, Alfred G. H. Cited in 1 Serial 1 Journal of Classification Cited in 1 Field 1 Statistics (62-XX) Citations by Year