/Python/K-Means Clustering in Python – 3 clusters

K-Means Clustering in Python – 3 clusters

from pandas import DataFrame
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans

Data = {'x': [25,34,22,27,33,33,31,22,35,34,67,54,57,43,50,57,59,52,65,47,49,48,35,33,44,45,38,43,51,46],
        'y': [79,51,53,78,59,74,73,57,69,75,51,32,40,47,53,36,35,58,59,50,25,20,14,12,20,5,29,27,8,7]
       }
  
df = DataFrame(Data,columns=['x','y'])
  
kmeans = KMeans(n_clusters=3).fit(df)
centroids = kmeans.cluster_centers_
print(centroids)

plt.scatter(df['x'], df['y'], c= kmeans.labels_.astype(float), s=50, alpha=0.5)
plt.scatter(centroids[:, 0], centroids[:, 1], c='red', s=50)
plt.show()

Source: datatofish.com

Similar codes

0 vote309 views1 answer
'NoneType' object has no attribute 'isnull'
Python
0 vote292 views1 answer
Seaborrn set figsize
Python
1 vote342 views2 answers
How to access cookies in django
Python Django
1 vote278 views1 answer
How to move file from one location to another with python
Python
0 vote286 views1 answer
Numpy array with 2 times each value
Python
0 vote309 views1 answer
How to make ui dialog pop in front pyqt
Python
0 vote293 views1 answer
Python var_dump
Python
1 vote309 views1 answer
What do i do if my dog eats paper
Python
24 votes420 views3 answers
Flask vs django
Python Flask
0 vote256 views1 answer
Accumulator programming python
Python