code: def main():
      """Run online K-means on the circle."""
      circle = Hypersphere(dim=1)
  
      data = circle.random_uniform(n_samples=1000)
  
      n_clusters = 5
      clustering = OnlineKMeans(circle, n_clusters=n_clusters)
      clustering = clustering.fit(data)
  
      plt.figure(0)
      visualization.plot(
          points=clustering.cluster_centers_, space="S1", color="red"
      )
      plt.show()
  
      plt.figure(1)
      ax = plt.axes()
      circle_plot = visualization.Circle()
      circle_plot.draw(ax=ax)
      for i in range(n_clusters):
          cluster = data[clustering.labels_ == i, :]
          circle_plot.draw_points(ax=ax, points=cluster)
      plt.show()
  
imports: import logging
  import os
  import matplotlib.pyplot
  import geomstats.visualization
  from geomstats.geometry.hypersphere import Hypersphere
  from geomstats.learning.online_kmeans import OnlineKMeans
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types