unsupervised knn
import numpy as np
from sklearn.neighbors import NearestNeighbors
samples = [[0, 0, 2], [1, 0, 0], [0, 0, 1]]
neigh = NearestNeighbors(2, 0.4)
neigh.fit(samples)
neigh.kneighbors([[0, 0, 1.3]], 2, return_distance=False)
unsupervised knn
import numpy as np
from sklearn.neighbors import NearestNeighbors
samples = [[0, 0, 2], [1, 0, 0], [0, 0, 1]]
neigh = NearestNeighbors(2, 0.4)
neigh.fit(samples)
neigh.kneighbors([[0, 0, 1.3]], 2, return_distance=False)
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