title: How to use silhouette_score in Sklearn with mixed (categorical and numerical) data?
body: <p>I have come to a situation where I have mixed data set as mentioned and try unsupervised clustering.</p>
  <p>I am trying many different experiments including Gower's distance and K-prototype. I wanna try some of sklearn metrics to see how they will give me values.</p>
  <p>While I was looking at silhouette_score, there is an argument 'metric' and I can decide with what I want to compute distances. But as my data has mixed types, I would like to choose <strong>manhattan</strong> for numerical and <strong>hamming</strong> for categorical. <strong>Is there a way I can use silhouette_score for both metrics at one go?</strong> if all my input data were numerical, I would have done as below:</p>
  <pre><code>silhouette_score(friendRecomennderData, labels, metric = 'manhattan')
  </code></pre>
  <p>Thank you in advance.</p>