Performs a multi-objective optimization for collecting cluster alternatives. The algorithm draws R bootstrap samples from x. It calculates clusterings for all specified cluster numbers K using k-means, neuralgas, and single-linkage clustering. It then applies several cluster validation indices to the clusterings.
Computes the set of Pareto-optimal cluster sizes in obj according to the values of the cluster validation indices. A ranking of optimal cluster sizes and a table illustrating the ranking of solutions are returned.
providing 
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