kmeans_cluster.py 文件源码

def clustering(docs,n_clusters):  # ?? n_clusters ???
    kmeans_model=KMeans(n_clusters=n_clusters,random_state=1).fit(docs)  # kmeans??
    labels=kmeans_model.labels_
    # hmodel=AgglomerativeClustering(n_clusters=n_clusters).fit(docs)   # ????
    # labels=hmodel.labels_
    score=metrics.silhouette_score(np.array(docs),labels,metric='euclidean')  #   euclidean  ??
    return labels,score