A comparative study of different machine learning methods for landslide susceptibility assessment: a case study of Uttarakhand area (India)

• Main Authors: Pham, Binh Thai, Pradhan, Biswajeet, Bui, Dieu Tien, Prakash, Indra, Dholakia, M. B.
• Format: Article
• Language: English
• Published: Elsevier 2016
• Online Access: http://psasir.upm.edu.my/id/eprint/54823/1/A%20comparative%20study%20of%20different%20machine%20learning%20methods%20for%20landslide%20susceptibility%20assessment%20a%20case%20study%20of%20Uttarakhand%20area%20%28India%29.pdf; http://psasir.upm.edu.my/id/eprint/54823/

Landslide susceptibility assessment of Uttarakhand area of India has been done by applying five machine learning methods namely Support Vector Machines (SVM), Logistic Regression (LR), Fisher's Linear Discriminant Analysis (FLDA), Bayesian Network (BN), and Naïve Bayes (NB). Performance of thes...