Subspace clustering is a powerful technology for clustering high-dimensional data according to the underlying subspaces. Least Squares Regression (LSR) is a classical subspace clustering model because of its explicit solution and the good grouping effect that ensure the coefficient of close...

The selection of projects from a set of possible alternatives is a key decision in any organization. However, all entities that allocate resource budgets across several projects and initiatives face the same fundamental problem: to select the most valuable projects given a finite budget. The...