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#### These are *NOT* compared with output in the released version of### 'cluster' currentlylibrary(cluster)source(system.file("test-tools.R", package = "cluster"), keep.source = FALSE)## -> showProc.time() ... & doExtrasdata(xclara)## Try 100 times *different* random samples -- for reliability:nSim <- 100nCl <- 3 # = no.classesshowProc.time()## 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)$cluster)tcl <- apply(cl,1, tabulate, nbins = nCl)showProc.time()## those that are not always in same cluster (5 out of 3000 for this seed):(iDoubt <- which(apply(tcl,2, function(n) all(n < nSim))))if(doExtras) {if(getRversion() < "3.2.1")lengths <- function (x, use.names = TRUE) vapply(x, length, 1L, USE.NAMES = use.names)rrr <- lapply(1:128, function(iseed) {set.seed(iseed)cat(iseed, if(iseed %% 10 == 0) "\n" else "")cl <- replicate(nSim, clara(xclara, nCl, rngR = TRUE)$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)} ## doExtrasif(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}