code: def dbscan():
      print("DBSCAN")
      X = np.array(
          [
              [1.0, 2.0],
              [2.0, 2.0],
              [2.0, 3.0],
              [8.0, 7.0],
              [8.0, 8.0],
              [25.0, 80.0],
          ],
          dtype=np.float32,
      )
      clustering = DBSCAN(eps=3, min_samples=2).fit(X)
      print("clustering.labels_")
      print(clustering.labels_)
      print("clustering")
      print(clustering)
  
file_path: scikit-learn-intelex/tests/daal4py/sycl/sklearn_sycl.py
imports: import numpy
  from sklearn.cluster import DBSCAN, KMeans
  from sklearn.datasets import load_iris
  from sklearn.linear_model import LinearRegression, LogisticRegression
label_desc: Use image node_id 6 for calling a global function with example usage: dbscan() without return types