A comparison of ℓ1-regularizion, PCA, KPCA and ICA for dimensionality reduction in logistic regression

Abdallah Bashir Musa. A comparison of ℓ1-regularizion, PCA, KPCA and ICA for dimensionality reduction in logistic regression. Int. J. Machine Learning & Cybernetics, 5(6):861-873, 2014. [doi]

@article{Musa14,
  title = {A comparison of ℓ1-regularizion, PCA, KPCA and ICA for dimensionality reduction in logistic regression},
  author = {Abdallah Bashir Musa},
  year = {2014},
  doi = {10.1007/s13042-013-0171-7},
  url = {http://dx.doi.org/10.1007/s13042-013-0171-7},
  researchr = {https://researchr.org/publication/Musa14},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Machine Learning & Cybernetics},
  volume = {5},
  number = {6},
  pages = {861-873},
}