轮廓系数选择K

def solve():
    from sklearn.datasets import load_iris
    from sklearn.cluster import KMeans
    from sklearn.metrics import silhouette_score
    import matplotlib.pyplot as plt
    iris = load_iris()
    silhouette_scores = []
    K_range = range(____, ____)
    for k in K_range:
        kmeans = KMeans(____)
        labels = kmeans.fit_predict(____)
        score = silhouette_score(____)
        silhouette_scores.append(____)
    best_k = K_range[silhouette_scores.index(max(____))]
    print(____)
    print(____)
    plt.figure(figsize=(____, ____))
    plt.plot(____)
    plt.xlabel(____)
    plt.ylabel(____)
    plt.title(____)
    plt.grid(____)
    plt.show()