5.2_k-means案例分析

 

 

k-means案例分析

手写数字数据上K-Means聚类的演示

from sklearn.metrics import silhouette_score
from sklearn.cluster import KMeans

def kmeans():
    """
    手写数字聚类过程
    :return: None
    """
    # 加载数据

    ld = load_digits()

    print(ld.target[:20])


    # 聚类
    km = KMeans(n_clusters=810)

    km.fit_transform(ld.data)

    print(km.labels_[:20])

    print(silhouette_score(ld.data,km.labels_))

    return None



if __name__=="__main__":
    kmeans()