Package: GeomArchetypal 1.0.1

GeomArchetypal: Finds the Geometrical Archetypal Analysis of a Data Frame

Performs Geometrical Archetypal Analysis after creating Grid Archetypes which are the Cartesian Product of all minimum, maximum variable values. Since the archetypes are fixed now, we have the ability to compute the convex composition coefficients for all our available data points much faster by using the half part of Principal Convex Hull Archetypal method. Additionally we can decide to keep as archetypes the closer to the Grid Archetypes ones. Finally the number of archetypes is always 2 to the power of the dimension of our data points if we consider them as a vector space. Cutler, A., Breiman, L. (1994) <doi:10.1080/00401706.1994.10485840>. Morup, M., Hansen, LK. (2012) <doi:10.1016/j.neucom.2011.06.033>. Christopoulos, DT. (2024) <doi:10.13140/RG.2.2.14030.88642>.

Authors:Demetris Christopoulos [aut, cre, cph], David Midgley [ctb, cph], Sunil Venaik [ctb], INSEAD Hoffmann Institute France [fnd], The University of Queensland Australia [fnd]