Estimate the number of clusters in your data set.
Project description
The Entropy Method is an algorithm to estimate the number of clusters in a data set.
The method relies on the stability principle. Subsamples of your data set are repeatedly clustered into different numbers of clusters; the algorithm then assesses which number of clusters provides the most stable clustering.
For more details, see the pre-print (link to be provided)
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