cluster.py 文件源码

def calc_cophenet(self):
        """ Returns Cophenetic Correlation coefficient of your clustering.
        This (very very briefly) compares (correlates) the actual pairwise 
        distances of all your samples to those implied by the hierarchical 
        clustering. The closer the value is to 1, the better the clustering 
        preserves the original distances,
        """        

        return scipy.cluster.hierarchy.cophenet( self.linkage, self.condensed_dist_mat )