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Is there a measure of separation such as the Sillohete score for fuzzy clustering? I understand the logic for Hard-clustering algorithms but not sure about fuzzy. Is there a Python package for that such as scikit-learn?

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Why not using classing distance measurement such as K-Means?

Otherwise, this page has code about fuzzy c-means including a distance calculation: https://pythonhosted.org/scikit-fuzzy/_modules/skfuzzy/cluster/_cmeans.html

There is also a publication but no code: https://www.researchgate.net/publication/256471114_Fuzzy_Distance_Measure_and_Fuzzy_Clustering_Algorithm

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  • $\begingroup$ If you consider the answer somewhat usefull, don't hesitate to upvote it as acknowledgment :) $\endgroup$ – Nicolas M Jul 22 at 9:19

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