1 citations · 1 across the 5 of their papers we have counts for
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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…
stat.ME2016
Projection Sparse Principal Component Analysis: an efficient least squares method
Giovanni Maria Merola
We propose a new sparse principal component analysis (SPCA) method in which the solutions are obtained by projecting the full cardinality principal components onto subsets of varia…
stat.ME2014★ 1 cited
Sparse Principal Component Analysis: a Least Squares approximation approach
Giovanni Maria Merola
Sparse Principal Components Analysis aims to find principal components with few non-zero loadings. We derive such sparse solutions by adding a genuine sparsity requirement to the o…