GraphPCA: Graphical Tools of Histogram PCA

Histogram principal components analysis is the generalization of the PCA. Histogram data are adapted to design complex and big data which histograms used as variables (big data adapter). Functions implemented provides numerical and graphical tools of an extension of PCA. Sun Makosso Kallyth (2016) <doi:10.1002/sam.11270>. Sun Makosso Kallyth and Edwin Diday (2012) <doi:10.1007/s11634-012-0108-0>.

Package details

AuthorBrahim Brahim <[email protected]> and Sun Makosso-Kallyth <[email protected]>
MaintainerBrahim Brahim <[email protected]>
LicenseGPL (>= 2)
Version1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GraphPCA")

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GraphPCA documentation built on May 2, 2019, 1:08 p.m.