Agrupamento_Kmeans_Dados_Randômicos.py

import  plotly.express as px
import plotly.graph_objects as go
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.cluster import KMeans
from sklearn.datasets import make_blobs


X_random, y_random = make_blobs(n_samples=200,centers=5, random_state=1)

grafico = px.scatter(x = X_random[:,0], y = X_random[:,1])
grafico.show()

kmeans_blobs = KMeans(n_clusters=5)
kmeans_blobs.fit(X_random)

rotulos = kmeans_blobs.predict(X_random)
print(rotulos)

centroides = kmeans_blobs.cluster_centers_
print(centroides)

grafico1 = px.scatter(x = X_random[:,0], y = X_random[:,1], color = rotulos)
grafico2 = px.scatter(x = centroides[:,0], y = centroides[:,1], size = [5, 5, 5, 5, 5])
grafico3 = go.Figure(data = grafico1.data + grafico2.data)
grafico3.show()