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Does anyone know of a Python equivalent to the R package NbClust?

I am searching for a way to determine the optimal number of clusters for many 'similar datasets' and NbClust sounds good but it is for R and I am a Python user.

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I have not found any unified package in Python like NbClust. Check out the Python package rpy2 for using R modules in Python.

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Yes, according to me, NbClust is an R package for determining the optimal number of clusters in a dataset using various criteria. For Python, the pyclustertend library offers similar functionality, including clustering tendency assessment and optimal cluster number estimation, aligning with NbClust methods.

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