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

  title={A comparison of ℓ1-regularizion, PCA, KPCA and ICA for dimensionality reduction in logistic regression},
  author={Abdallah Bashir Musa},
  journal={Int. J. Machine Learning & Cybernetics},
Relevant information extraction and dimensionality reduction of the original input features is an interesting research area in machine learning and data analysis. Logistic regression (LR) is a well-known classification method that has been used widely in many applications of data mining, machine learning, and bioinformatics. However, its performance is affected by the multi-co-linearity among its predictors, and the features’ redundancy. ‘1-regularizion and features extraction methods are… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 10 extracted citations

An image classification algorithm integrating principal component analysis and spatial pyramid matching features

2017 Fourth International Conference on Image Information Processing (ICIIP) • 2017
View 1 Excerpt

Data imputation and dimensionality reduction using deep learning in industrial data

2017 3rd IEEE International Conference on Computer and Communications (ICCC) • 2017
View 1 Excerpt


Publications referenced by this paper.
Showing 1-10 of 48 references

Maximum Ambiguity-Based Sample Selection in Fuzzy Decision Tree Induction

IEEE Transactions on Knowledge and Data Engineering • 2012
View 1 Excerpt

Applications of the kernel principal component analysis-based logistic regression model on nonlinear association study

Gao Q-S, Xue F-Z
J Shandong Univ (health sciences) doi: cnki:sun:sdyb.0.2011-05-032 • 2011
View 2 Excerpts

Independent component analysis for naive classification, PhD thesis, National University of Singapore, Singapore

F Liwei
View 2 Excerpts

The Listed Company's Financial Evaluation Based on PCA-Logistic Regression Model

2010 Second International Conference on Multimedia and Information Technology • 2010
View 3 Excerpts

On the use of ICA for hyperspectral image analysis

2009 IEEE International Geoscience and Remote Sensing Symposium • 2009
View 1 Excerpt

l1_logreg: A large-scale solver for l1-regularized logistic regression problems

K Koh, SJ Kim, S Boyd

Similar Papers

Loading similar papers…