3D Topological Data Analysis (TDA)

This container extracts TDA features using the Giotto-TDA Python package. A vector describing each dimension (x, y, z) is output:

• Persistence entropy [0, 1, 2]
• Number of points [0, 1, 2]
• Amplitude
  • Landscape [0, 1, 2]
  • Bottleneck [0, 1, 2]
  • Wasserstein [0, 1, 2]
  • Betti [0, 1, 2]
  • Silhouette [0, 1, 2]
  • Heat [0, 1, 2]
  • Persistence Image [0, 1, 2]

The units of traits are as follow:

• Min_x, min_y, min_z, max_x, max_y, and max_z are UTM coordinates, so they are in units of meters
• Num_points is the total count of points in the point cloud
• Hull volume, oriented bounding box, and axis aligned bounding box are in units of cubic meters
• The rest are topological values (those listed above) and are unitless.

Flags/Arguments

• -p, --pointclouds | Input point clouds either single or list
• -c, --cpu | Number of CPUs to use for multiprocessing. It is recommended to be 0.5*(total available CPUs)
• -o, --outdir | Output directory for CSV file containing feature values
• -f, --filename | Output filename for CSV file containing feature values