A Supervised Filter Feature Selection Method for Mixed Data Based on the Spectral Gap Score

Saúl Solorio-Fernández, José Fco. Martínez Trinidad, Jesús Ariel Carrasco-Ochoa. A Supervised Filter Feature Selection Method for Mixed Data Based on the Spectral Gap Score. In Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, José Arturo Olvera-López, Joaquín Salas, editors, Pattern Recognition - 11th Mexican Conference, MCPR 2019, Querétaro, Mexico, June 26-29, 2019, Proceedings. Volume 11524 of Lecture Notes in Computer Science, pages 3-13, Springer, 2019. [doi]

@inproceedings{Solorio-Fernandez19,
  title = {A Supervised Filter Feature Selection Method for Mixed Data Based on the Spectral Gap Score},
  author = {Saúl Solorio-Fernández and José Fco. Martínez Trinidad and Jesús Ariel Carrasco-Ochoa},
  year = {2019},
  doi = {10.1007/978-3-030-21077-9_1},
  url = {https://doi.org/10.1007/978-3-030-21077-9_1},
  researchr = {https://researchr.org/publication/Solorio-Fernandez19},
  cites = {0},
  citedby = {0},
  pages = {3-13},
  booktitle = {Pattern Recognition - 11th Mexican Conference, MCPR 2019, Querétaro, Mexico, June 26-29, 2019, Proceedings},
  editor = {Jesús Ariel Carrasco-Ochoa and José Francisco Martínez Trinidad and José Arturo Olvera-López and Joaquín Salas},
  volume = {11524},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-21077-9},
}