clustering.py 文件源码

def completenessEstimation(self):
        x = 0.00
        dx = 0.05
        while x > 1:
            FlatC = hierarchy.fcluster(self.Tree, x, criterion='distance')
            counter=collections.Counter(FlatC)
            Best = max(counter.iteritems(), key=operator.itemgetter(1))[0]