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)

Source: datascience.stackexchange.com

Similar codes

17 votes263 views4 answers
Flask render_template
Python Flask
0 vote130 views1 answer
Negative slicing in python list
Python
3 votes139 views5 answers
Euclid's algorithm
Python
0 vote173 views1 answer
Django refresh form db
Python Django
0 vote134 views1 answer
Float value in regression expression python
Python
1 vote146 views1 answer
Python array extend
Python
0 vote130 views1 answer
Create matrix with complex python
Python
80 votes130 views4 answers
Save pandas into csv
Python
2 votes134 views1 answer
Converting datetime object format to datetime format python
Python
0 vote132 views1 answer
Python check equality of floats
Python