code: def main():
      # Load the dataset
      X, y = datasets.make_moons(
          n_samples=300, noise=0.08, shuffle=False
      )
  
      # Cluster the data using DBSCAN
      clf = DBSCAN(eps=0.17, min_samples=5)
      y_pred = clf.predict(X)
  
      # Project the data onto the 2 primary principal components
      p = Plot()
      p.plot_in_2d(X, y_pred, title="DBSCAN")
      p.plot_in_2d(X, y, title="Actual Clustering")
  
file_path: ML-From-Scratch/mlfromscratch/examples/dbscan.py
imports: import sys
  import os
  import math
  import random
  from sklearn import datasets
  import numpy
  from mlfromscratch.utils import Plot
  from mlfromscratch.unsupervised_learning import DBSCAN
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types