funkmeans4d: Functional k-means clustering for parallel smooths for 4-dimensional data
Description
This is a wrapper function for funkmeans to handle 3D image
responses.
Usage
funkmeans4d(fdobj, arr4d, ...)
Arguments
fdobj
a functional data object, of class "fd",
defining the set of curves being clustered.
arr4d
a 4-dimensional array containing the raw data that were
smoothed at each point. The first 3 dimensions refer to x, y, and z
coordinates and the last dimension corresponds to different images.
An object of class "funkmeans4d", which is also of class
"funkmeans" but has the additional component
arr.cluster: an array, of dimension dim(arr4d)[1:3], giving
the cluster memberships.