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Clustering function to run clustering with no parallelization process nor auto save
Clustering( dataset, nb_clust_possible, n_iter = 5, Dmin = 0.28, SampleName = NULL )
list of results of clustering
dataset with Contrast and SigStren for each individuals (as SampleName) and each markers (as MarkerName)
number of cluster possible (ploidy+1)
number of iterations to perform for clustering
minimal distance between two clusters
vector with all SampleName (important when missing genotype)
data(GenoTriplo_to_clust) ploidy=3 res = Clustering(dataset=GenoTriplo_to_clust, nb_clust_possible=ploidy+1,n_iter=5)
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