fit_mean: Fitting function for open curves

In elasdics: Elastic Analysis of Sparse, Dense and Irregular Curves

Fitting function for open curves

Description

Fits an elastic mean for open curves. Is usually called from compute_elastic_mean.

Usage

fit_mean(srv_data_curves, knots, max_iter, type, eps)

Arguments

srv_data_curves	list of data.frames with srv vectors in each row. Usually a result of a call to get_srv_from_points
knots	set of knots for the mean spline curve
max_iter	maximal number of iterations
type	if "smooth" linear srv-splines are used which results in a differentiable mean curve if "polygon" the mean will be piecewise linear.
eps	the algorithm stops if L2 norm of coefficients changes less

Value

a list with entries

type	"smooth" or "polygon"
coefs	coefs srv spline coefficients of the estimated mean
knots	spline knots
t_optims	optimal parametrization

elasdics documentation built on June 22, 2024, 12:27 p.m.