This is the repository for the qLUE clustering algorithm inspired by CERN's CLUE event reconstruction algorithm. The associated paper can be found at text
The code for the noise analysis in Fig 5(a-c) is in main_noise.py and can be run using python main_noise.py --cq q
The code for the overlap analysis in Fig 5(d-f) is in main.py and can be run using python main.py --cq q
The datasets for Fig 5(g-j) are based on SKLearn's moons and circles datasets and can be generated using the code in Viz.ipynb. qLUE can be run on this using python main_general_dataset.py. As the name suggests, this is the code to run qLUE on a general dataset.
Several example datasets are provided in the datasets/ folder