Shrinkage methods are used in machine learning to select features and classify them. These methods are also referred to as methods of regularization regression. They include, ridge, lasso, and elastic net. There might be other recently emerged methods. I would like to conduct a survey on these methods. So, what are the most popular methods in this regard?
Thanks in advance for your answers.