K-Prototypes and evaluating model performance and drift

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I have reached a blocking point in a current project. We are using K-Prototypes to segment two populations (one with 100k elements and the other with 1M). In order to evaluate the clustering, during our K-Means stage we used silhouettes which are already implemented in sklearn.

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