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Find the number of clusters by the standard Silhouette statistics. The cluster is hierarchical.
silh.clus(nClus, distanceMatrix, method)
Maximum number of groups.
Matrix of distances.
Hierarchical method "single", "average","complete".
A list containing:
nClus - Number of groups
list - Silhouette statistics for each value of nclus.
# NOT RUN { data(TaiwanAirBox032017) output_gcc <- GCCmatrix(TaiwanAirBox032017[1:100,1:10]) output <- silh.clus(nClus=3,distanceMatrix=output_gcc$DM ,method="complete") # }
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