utils.py 文件源码

def bench_k_means(labels, labels_, name, data):
    print('%20s  %.3f   %.3f   %.3f   %.3f   %.3f'
          % ( name,
             metrics.homogeneity_score(labels,   labels_),
             metrics.completeness_score(labels,  labels_),
             metrics.v_measure_score(labels,     labels_),
             metrics.adjusted_rand_score(labels, labels_),
             metrics.adjusted_mutual_info_score(labels, labels_)))
    nbins=len(set(labels_))
    vals,bins=np.histogram(labels_,bins=nbins)
    print 20*' ','hist-min,max',np.min(vals),np.max(vals)