最近邻 相关推荐

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#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])