fit_mean_closed {elasdics}R Documentation

Fitting function for open curves

Description

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

Usage

fit_mean_closed(srv_data_curves, knots, max_iter, type, eps, pen_factor)

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

eps

the algorithm stops if L2 norm of coefficients changes less

pen_factor

penalty factor forcing the mean to be closed if "polygon" the mean will be piecewise linear.

Value

a list with entries

type

"smooth" or "polygon"

coefs

coefs srv spline coefficients of the estimated mean

knots

spline knots

t_optims

optimal parametrisation

shift_idxs

index of the starting point of the closed curve after alignment


[Package elasdics version 0.2.0 Index]