cluster.py 文件源码

def agglom(reduced_data, n_clusters):
    #----Do Agglomerative clustering and return relevant performance data
    clustering = cluster.AgglomerativeClustering(n_clusters = n_clusters)
    clustering = clustering.fit(reduced_data)
    sil_score = metrics.silhouette_score(reduced_data, clustering.labels_, metric='euclidean')

    return {
        "labels":clustering.labels_,
        "silhouette_score": sil_score
        }