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. doi:10.1080/00401706.1994.10485840, doi:10.1016/j.neucom.2011.06.033, doi:10.13140/RG.2.2.14030.88642.
- Version1.0.3
- R version≥ 3.1.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- Cutler, A., Breiman, L. (1994)
- Morup, M., Hansen, LK. (2012)
- Christopoulos, DT. (2024)
- Last release10/20/2024
Documentation
Team
Demetris Christopoulos
David Midgley
Show author detailsRolesContributor, Copyright holderSunil Venaik
Show author detailsRolesContributorINSEAD Hoffmann Institute France
Show author detailsRolesfndThe University of Queensland Australia
Show author detailsRolesfnd
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports12 packages
- Suggests2 packages