LASSO Algorithm: A Variable Subset Selection Method with Implementation Details

The LASSO algorithm is a variable subset selection technique proposed by Tibshirani at Stanford University, which utilizes L1 regularization for feature selection and model optimization.

MATLAB Implementation of Lasso Algorithm with Stanford Source Code

Original Lasso algorithm source code developed by Stanford University, featuring robust implementation with coordinate descent optimization and cross-validation support