Sparse Principal Component Analysis (sparse PCA) represents a significant advance in the field of dimensionality reduction for high-dimensional data. Unlike conventional Principal Component Analysis ...

We are living in an increasingly interconnected world – not just in the number of digital devices, but also in how actions can have dozens, if not hundreds or more consequences that cascade through a ...