If you use this code, please cite the paper below:

@article{araujo2020self,
  title={Self-organizing subspace clustering for high-dimensional and multi-view data},
  author={Araujo, Aluizio FR and Antonino, Victor O and Guevara, Karina LP},
  journal={Neural Networks},
  year={2020},
  publisher={Elsevier}
}

To run the code:

1. Save your files in a folder inside the project.
2. On a text document save the paths to each file you're going to test.
3. On another text document save the parameters in a column each line is going to be a parameter to be used.
4. Open the NetbeansProject
5. Set the arguments for the program and run:

-i: this flag is used to get the path to the file containing all the paths to the datasets to be used. -r: this flag is used to get the path to the results folder -p: this flag is used to get the path to the parameters file

Example: -i ../../Parameters/inputPathsReal -r teste_orig/ -p ../../Parameters/OrigRealSeed_0

See LARFDSSOM