A Monte Carlo method for calculating a null/random clustering solution based on the type and arrangement of a known clustering solution.
cluster identity vector
original pairwise distance matrix
This function calculates a random/null clustering solution based on a given solution. It resamples the data and reassigns samples to groups, keeping the same group sizes.
A matrix equal in rows to the number of clusters originally given, with two columns for mean within group distance and standard deviation respectively.
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