Two simple approximation algorithms for the minimum k-cut problem are presented. Each algorithm finds a k cut having weight within a factor of $(2 - 2/k)$ of the optimal. One algorithm is particularly efficient—it requires a total of only $n - 1$ maximum flow computations for finding a set of near-optimal k cuts, one for each value of k between 2 and n.
No takes yet. Share an insight, caveat, or question.
Saran et al. (1995) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: