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arXiv · 2007.11652

Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms

Carl Johnell·Morteza Haghir Chehreghani
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Abstract

We study Frank-Wolfe algorithms - standard, pairwise, and away-steps - for efficient optimization of Dominant Set Clustering. We present a unified and computationally efficient framework to employ the different variants of Frank-Wolfe methods, and we investigate its effectiveness via several experimental studies. In addition, we provide explicit convergence rates for the algorithms in terms of the so-called Frank-Wolfe gap. The theoretical analysis has been specialized to Dominant Set Clustering and covers consistently the different variants.

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BibTeXRIS

Carl Johnell, Morteza Haghir Chehreghani. 2020-07-22. Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms. https://doi.org/10.1145/3511808.3557306

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