R Under development (unstable) (2024-04-27 r86487 ucrt) -- "Unsuffered Consequences"
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> library(ClassDiscovery)
Loading required package: cluster
Loading required package: oompaBase
> suppressWarnings( RNGversion("3.5.3") )
> set.seed(547422)
> # simulate data from three different groups
> d1 <- matrix(rnorm(100*10, rnorm(100, 0.5)), nrow=100, ncol=10, byrow=FALSE)
> d2 <- matrix(rnorm(100*10, rnorm(100, 0.5)), nrow=100, ncol=10, byrow=FALSE)
> d3 <- matrix(rnorm(100*10, rnorm(100, 0.5)), nrow=100, ncol=10, byrow=FALSE)
> dd <- cbind(d1, d2, d3)
> 
> cutKmeans(dd, k=3)
 [1] 3 3 3 3 3 3 3 3 3 3 1 2 2 2 1 2 2 1 1 1 3 3 3 3 3 3 3 3 3 3
> cutKmeans(dd, k=4)
 [1] 3 3 3 3 3 3 3 3 3 3 1 1 1 1 1 1 1 1 1 1 4 2 2 4 4 2 2 4 4 2
> 
> cutHclust(dd, k=3)
> cutHclust(dd, k=4)
> 
> cutPam(dd, k=3)
 [1] 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3
> cutPam(dd, k=4)
 [1] 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 3 4 3 4 4 4 3 3 3 3
> 
> cutRepeatedKmeans(dd, k=3, nTimes=10)
 [1] 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3
> crk <- cutRepeatedKmeans(dd, k=4, nTimes=10)
> sort(as.vector(table(crk))) # sme numbers, different labels on some machines
[1]  5  5 10 10
> 
> # cleanup
> rm(d1, d2, d3, dd)
> 
> proc.time()
   user  system elapsed 
   0.23    0.09    0.26