Description Usage Arguments Value
This function generate an cluster structure with 'k' groups and computes the cluster reliability score where 'k' is a range of values
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dis |
Distance object |
range |
vector with start and end 'k' |
step |
Integer indicating the incremental number of clusters to add in each iteration |
cores |
Maximum number of CPU cores to use |
method |
Either 'pam' k-mediods or kmeans. Must supply the original data matrix if using kmeans |
data |
Original data matrix |
list of cluster reliability scores by 'k', 'clustering' (the vector solution) and 'reliability' as well as 'medoids' labels
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