| RAAR {DRquality} | R Documentation |
Rescaled average agreement rate
Description
Rescaled average agreement rate deduced by the co-ranking matrix from LCMC.
Usage
RAAR(Data, ProjectedPoints, kmax = nrow(Data) - 2, PlotIt = TRUE)
Arguments
Data |
Matrix containing n cases in rows, d variables in columns or a distance matrix which in this case has to be symmetric |
ProjectedPoints |
n by OutputDimension matrix containing coordinates of the Projection |
kmax |
maximum of intervall 1:kmax of k nearest neighbors |
PlotIt |
Optional: Should the output be plottet. Default: TRUE |
Value
A list containing:
Raar |
Rescaled average agreement rate |
Aar |
Average agreement rate |
Author(s)
Michael Thrun
References
Lee, J. A., Peluffo-Ordonez, D. H., & Verleysen, M. Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction. Paper presented at the Proceedings of 22st European Symposium on Artificial Neural Networks, Computational Intelligence And Machine Learning (ESANN) (2014).
Examples
if(requireNamespace("FCPS")){
data(Hepta,package="FCPS")
projection=cmdscale(dist(Hepta$Data), k=2)
RAAR(Hepta$Data,projection,kmax=nrow(Hepta$Data)-2,PlotIt=TRUE)
}