usage: kmeans-gen [-h] [-s SEED] [-m MAX] [-n POINTS] [-v] [-p] [-r] clusters dimensions
Generate nontrivial test data with unique solution for the k-means algorithm
positional arguments:
clusters the number of clusters
dimensions the number of dimensions of the space
options:
-h, --help show this help message and exit
-s SEED, --seed SEED random seed (default: None)
-m MAX, --max MAX maximum absolute value for cluster center dimensions (default: 1000)
-n POINTS, --points POINTS
the number of generated points (default: 1000)
-v, --validate perform validation (default: False)
-p, --print_centers perform validation (default: False)
-r, --reflections include a reflection for each sampled point (default: False)
output: csv list of points which should be clustered