funkmeans4d: Functional k-means clustering for parallel smooths for...

In vows: Voxelwise Semiparametrics

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.
...	other arguments, passed to funkmeans.

Value

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.

Author(s)

Philip Reiss [e-mail], Lei Huang [e-mail] and Lan Huo

See Also

funkmeans

Examples

# See example for funkmeans

vows documentation built on May 2, 2019, 9:26 a.m.