hgfc.py 文件源码

def h_cluster(wordlist, sims, distmat, thresh=0.01):

    B_, Bs, Ms, Ts, As = hgfc(sims, thresh=thresh)

    sil_coefs = []
    for i,a in enumerate(As):
        l = labels(a)
        if len(set(l)) > 2 and len(set(l)) < len(wordlist)-1:
            sil_coefs.append(silhouette_score(distmat, labels(a), metric='precomputed'))
        else:
            sil_coefs.append(0.0)
    ld = [labeldict(a,wordlist) for a in As]
    return ld, sil_coefs