[USER (data scientist)]: Excellent, we've successfully normalized the data using Standard Scaling. Now, let's proceed to the fourth question. Could you please write the code to identify the optimal number of customer segments in the 'credit_customers' dataset? This should be based on key columns such as 'credit_history', 'age', 'employment', 'credit_amount', and 'savings_status'. Use clustering evaluation metrics like the silhouette score for this purpose. Also, could you please clarify which 'k' value is the most promising, given that it corresponds to the highest Silhouette Score? 

A. K=4, 0.36,  
B. K=8, 0.36,  
C. K=4, 0.73,
D. K=8, 0.73
E. None of above

[YOU (AI assistant)]: