3 papers
stat.CO2026
spca: An R package to Compute Least Squares Sparse Principal Components
Giovanni Maria Merola
This paper introduces the R package spca, which provides a computational framework for least squares sparse principal component analysis (LS-SPCA). Unlike other SPCA methods, LS-SP…
cs.LG2023
Blocked Cross-Validation: A Precise and Efficient Method for Hyperparameter Tuning
Giovanni Maria Merola
Hyperparameter tuning plays a crucial role in optimizing the performance of predictive learners. Cross--validation (CV) is a widely adopted technique for estimating the error of di…
stat.ME2021
Sparse Principal Components Analysis: a Tutorial
Giovanni Maria Merola
The topic of this tutorial is Least Squares Sparse Principal Components Analysis (LS SPCA) which is a simple method for computing approximated Principal Components which are combin…