import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans

def kmeans_customer_segmentation():
    df = pd.read_csv("https://raw.githubusercontent.com/mwaskom/seaborn-data/master/mall_customers.csv")
    kmeans = KMeans(n_clusters=4, random_state=42)
    df['Cluster'] = kmeans.fit_predict(df[['Annual Income (k$)', 'Spending Score (1-100)']])
    print("👥 客户聚类完成，展示图像...")
    sns.scatterplot(x='Annual Income (k$)', y='Spending Score (1-100)', hue='Cluster', data=df, palette='Set1')
    plt.title("Customer Segmentation (KMeans)")
    plt.show()