Density based clustering

operators.ops3d.density_based_clustering(client, filename='in.laz', cluster_id_filename='out.npy', cluster_centers_filename='out.laz', wireframe_filename='wireframe.npy', epsilon=0.25, min_samples=0, dim=3, wireframe='False', instance_type='x2large')
Density-based Point Cloud Clustering

density_based_clustering( client,
filename=’in.laz’,
cluster_id_filename=’out.npy’,
cluster_centers_filename=’out.laz’,
wireframe_filename=’wireframe.npy’,
epsilon=0.25,
min_samples=0,
dim=3,
wireframe=’False’,
instance_type=’x2large’ )
Parameters:

  • filename – Input .laz file path

  • cluster_id_filename – Output cluster IDs file path

  • cluster_centers_filename – Output cluster centers .laz file path

  • wireframe_filename – Output wireframe connections file path

  • epsilon – DBSCAN epsilon

  • min_samples – DBSCAN min_samples

  • dim – Point dimension

  • wireframe – Whether to compute wireframe connections

  • instance_type – type of cloud instance used for processing