/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

2 votes191 views2 answers
Del all variables python
Python
8 votes190 views6 answers
Combine to lists python
Python
0 vote201 views1 answer
Grouped box plot in python
Python
0 vote278 views2 answers
Loop through file python
Python
0 vote156 views1 answer
Max path limit python
Python
2 votes246 views2 answers
How to replace a character of a string
Python
30 votes183 views3 answers
How to replace null values in pandas
Python
5 votes245 views5 answers
Python string format
Python
26 votes191 views4 answers
Python ceiling
Python
0 vote192 views1 answer
Call methods from within a class
Python