Scikit-learn: How to run KMeans on a one-dimensional array?

Question

I have an array of 13.876(13,876) values between 0 and 1. I would like to apply sklearn.cluster.KMeans to only this vector to find the different clusters in whi

Answer 1

You have many samples of 1 feature, so you can reshape the array to (13,876, 1) using numpy's reshape:

from sklearn.cluster import KMeans
import numpy as np
x = np.random.random(13876)

km = KMeans()
km.fit(x.reshape(-1,1))  # -1 will be calculated to be 13876 here