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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>.
Getting started
Browse package contents
Package details |
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| Author | Brahim Brahim <brahim.brahim@bigdatavisualizations.com> and Sun Makosso-Kallyth <makosso.sun@gmail.com> |
| Maintainer | Brahim Brahim <brahim.brahim@bigdatavisualizations.com> |
| License | GPL (>= 2) |
| Version | 1.1 |
| Package repository | View on CRAN |
| Installation |
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