Calculates the Riemannian size-and-shape distance d_S between two configurations
ssriemdist(x, y, reflect=FALSE)
Arguments
x: k x m matrix (or complex k-vector for 2D data) where k = number of landmarks and m = no of dimensions
y: k x m matrix (or complex k-vector for 2D data)
reflect: Logical. If reflect = TRUE then reflection invariance is included.
Returns
The Riemannian size-and-shape distance d_S between the two configurations. (for the Riemannian shape distance use riemdist)
References
Le, H.-L. (1995). Mean size-and-shapes and mean shapes: a geometric point of view. Advances in Applied Probability, 27:44-55.
See Also
procOPA,procGPA,riemdist
Examples
data(gorf.dat)data(gorm.dat)gorf<-procGPA(gorf.dat,scale=FALSE)gorm<-procGPA(gorm.dat,scale=FALSE)ds<-ssriemdist(gorf$mshape,gorm$mshape)cat("Riemannian size-and-shape distance between mean size-and-shapes is ",ds," \n")