最近邻 相关推荐

#最近邻import numpy as np  from numpy import linalg as la  from sklearn.neighbors import NearestNeighbors  M=np.array(["你吃饭了吗","今天的花儿很好看","简直不能更完美","你喜欢吃辣椒吗","天气很完美","这个花儿长的像辣椒"])X = np.array([[-1,-1],                [-2,-1],                [-3,-2],                [1,1],                [2,1],                [3,2]                ])  nbrs = NearestNeighbors(n_neighbors=3, algorithm="ball_tree").fit(X)  #返回距离每个点k个最近的点和距离指数，indices可以理解为表示点的下标，distances为距离  distances, indices = nbrs.kneighbors(X)    print(indices[4])for i in indices[4]:    print(M[i])