R Under development (unstable) (2023-11-30 r85651 ucrt) -- "Unsuffered Consequences"
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> #### These are *NOT* compared with output in the released version of
> ###  'cluster'  currently
> 
> library(cluster)
> 
> source(system.file("test-tools.R", package = "cluster"), keep.source = FALSE)
Loading required package: tools
> ## -> showProc.time() ...  & doExtras
> 
> data(xclara)
> ## Try 100 times *different* random samples -- for reliability:
> nSim <- 100
> nCl <- 3 # = no.classes
> showProc.time()
Time (user system elapsed): 0.01 0 0.01 
> 
> ## unknown problem: this is still platform dependent to some extent:
> set.seed(107)# << reproducibility; somewhat favorable with "small iDoubt"
> cl <- replicate(nSim, clara(xclara, nCl, rngR = TRUE)$cluster)
> tcl <- apply(cl,1, tabulate, nbins = nCl)
> showProc.time()
Time (user system elapsed): 0.15 0.03 0.18 
> ## those that are not always in same cluster (5 out of 3000 for this seed):
> (iDoubt <- which(apply(tcl,2, function(n) all(n < nSim))))
 [1]    6   71  243  245  610  708  727  770 1038 1081 1120 1248 1289 1610 1644
[16] 1922
> 
> if(doExtras) {
+     if(getRversion() < "3.2.1")
+ 	lengths <- function (x, use.names = TRUE) vapply(x, length, 1L, USE.NAMES = use.names)
+     rrr <- lapply(1:128, function(iseed) {
+         set.seed(iseed)
+ 	cat(iseed, if(iseed %% 10 == 0) "\n" else "")
+         cl <- replicate(nSim, clara(xclara, nCl, rngR = TRUE)$cluster)
+         tcl <- apply(cl,1, tabulate, nbins = nCl)
+         which(apply(tcl,2, function(n) all(n < nSim)))
+     }); cat("\n")
+     showProc.time()
+     cat("Number of cases which \"changed\" clusters:\n")
+     print(lengths(rrr))
+     ## compare with "true" -- are the "changers" only those with small sil.width?
+     ## __TODO!__
+     showSys.time(px <- pam(xclara,3))# 1.84 on lynne(2013)
+ 
+ } ## doExtras
> 
> 
> if(length(iDoubt)) { # (not for all seeds)
+   tabD <- tcl[,iDoubt, drop=FALSE]
+   dimnames(tabD) <- list(cluster = paste(1:nCl), obs = format(iDoubt))
+   print( t(tabD) ) # how many times in which clusters
+ }
      cluster
obs     1  2  3
     6 98  2  0
    71 99  1  0
   243 98  0  2
   245 86  0 14
   610 84 16  0
   708 87 13  0
   727 87  0 13
   770  0  1 99
  1038 80 20  0
  1081 48 52  0
  1120  5 95  0
  1248 21 79  0
  1289  3 97  0
  1610 59 41  0
  1644 18 82  0
  1922 10 90  0
> 
> proc.time()
   user  system elapsed 
   1.01    0.12    1.12