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However, set cover problem only needs to cover a point only once while covering all training data only once is not enough.
Since a subgraph of a 4-cycle can cover up to 4 edges, this covering problem is a special case of the unweighted 4-set cover problem.
In this paper we study the capacitated vertex cover problem, a generalization of the well-known vertex cover problem.
Specifically, we analyze SEIP using a set cover problem that is NP-hard.
When (alpha = 0), this problem reduces to the set cover problem.
Therefore, the anchor points selection problem can be reduced to the set cover problem.
They designed a heuristic to solve the maximum disjoint set cover problem.
This is a standard set cover problem that can be solved through a greedy heuristic[18].
The hitting set problem is a "dual" of the set cover problem.
This is a Weighted Set Cover problem that is NP-complete.
The k-path cover problem for general graphs is NP-complete.
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