统计学习方法第14章作业：层次聚类聚合/分裂算法和K-means代码实现

    import numpy as np
    import copy
    import matplotlib.pyplot as plt
    
    class Hierarchical_cluster:
    
    def __init__(self,k=None,p=2,dis_way='min',c_way='agg'):
        self.k = k
        self.p = p
        self.dis_way = dis_way
        self.c_way = c_way
    
    def cauclate_dis(self, x1, x2):
        return np.sum(abs(x1 - x2) ** self.p) ** (1 / self.p)
    
    def create_D_matrix(self):
        self.D = np.zeros((self.n,self.n))
        for i in range(self.n):
            for j in range(self.n):
                if i==j:
                    self.