Best Subset Solution Path for Linear Dimension Reduction Models Using Continuous Optimization
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The selection of best variables is a challenging problem in supervised and unsupervised learning, especially in high-dimensional contexts where the number of variables is usually much larger than the number of observations. In this paper, we focus on two multi... ...