Federico Zocco

Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study.

2021 · arXiv (Cornell University)

Dimensionality reduction is a important step in the development of scalable and interpretable data-driven models, especially when there are a large number of candidate variables. This paper focuses on unsupervised variable selection based dimensionality reduction, …