View source: R/boostrap_clust_validation.R
boot_worker | R Documentation |
Worker function for cluster bootstrapping
boot_worker(object, wdata, tol, maxiter, init)
object |
A FCMres object, typically obtained from functions CMeans, GCMeans, SFCMeans, SGFCMeans |
wdata |
The lagged dataset if necessary, can be NULL if not required |
tol |
The tolerance criterion used in the evaluateMatrices function for convergence assessment |
maxiter |
An integer for the maximum number of iteration |
init |
A string indicating how the initial centres must be selected. "random" indicates that random observations are used as centres. "kpp" use a distance based method resulting in more dispersed centres at the beginning. Both of them are heuristic. |
The worker function for the functions boot_group_validation and boot_group_validation.mc
A list, similar to a FCMres object, but with only necessary slots for cluster bootstraping.
# this is an internal function, no example provided
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