Last project of DS With Python

Question

Help please, Test 3,4 and 5 are failing and others are correct. I need your guys help!

n = int(input())
X = []
for i in range(n):
X.append([float(x) for x in input().split()])

from sklearn.preprocessing import StandardScaler
from sklearn.cluster import KMeans
import numpy as np
from sklearn.metrics.pairwise import euclidean_distances

scale = StandardScaler()
scale.fit(X)
X_scaled = scale.transform(X)

kmeans = KMeans(n_clusters=2)
kmeans.fit(X)
s=(kmeans.cluster_centers_)
for a in s:
print(np.around(a,1))

Answer 1

Hi