[USER (data scientist)]: Sure, show me the final code snippet with the clustering algorithm, parameters, and resulting customer segments: Please generate a tuple containing the K-means clustering parameters and a subset of the dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE] 
</code1>
# YOUR SOLUTION END

print("result:\n", result) 

# save data
pickle.dump(result,open("./pred_result/result.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Here's the code:
'''
import pandas as pd 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
