Clustering {GenoTriplo} | R Documentation |
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
)
dataset |
dataset with Contrast and SigStren for each individuals (as SampleName) and each markers (as MarkerName) |
nb_clust_possible |
number of cluster possible (ploidy+1) |
n_iter |
number of iterations to perform for clustering |
Dmin |
minimal distance between two clusters |
SampleName |
vector with all SampleName (important when missing genotype) |
list of results of clustering
data(GenoTriplo_to_clust)
ploidy=3
res = Clustering(dataset=GenoTriplo_to_clust,
nb_clust_possible=ploidy+1,n_iter=5)