Elastic Distance Matrix — elastic.distance • fdars

Compute the pairwise elastic (Fisher-Rao) distance matrix for functional data.

Usage

elastic.distance(fdataobj, fdataref = NULL, ...)

Arguments

fdataobj: An object of class 'fdata'.
fdataref: Optional reference 'fdata'. If NULL, computes self-distances.
...: Additional arguments (ignored).

Value

A distance matrix (numeric matrix).

References

Srivastava, A., Klassen, E., Joshi, S.H., and Jermyn, I.H. (2011). Shape analysis of elastic curves in Euclidean spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(7):1415–1428.

Tucker, J.D., Wu, W., and Srivastava, A. (2013). Generative models for functional data using phase and amplitude separation. Computational Statistics & Data Analysis, 61:50–66.

Examples

# \donttest{
fd <- fdata(matrix(rnorm(100), 10, 10), argvals = seq(0, 1, length.out = 10))
D <- elastic.distance(fd)
# }