Frank-Wolfe Optimization for Dominant Set Clustering

dc.contributor.authorJohnell, Carl
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data och informationstekniksv
dc.contributor.examinerDamaschke, Peter
dc.contributor.supervisorHaghir Chehreghani, Morteza
dc.date.accessioned2020-07-08T11:07:56Z
dc.date.available2020-07-08T11:07:56Z
dc.date.issued2020sv
dc.date.submitted2020
dc.description.abstractIt is convenient to represent a clustering problem as an edge-weighted graph, where the nodes and weights represent the objects and pairwise similarities of the problem. Dominant set is a graph-theoretical definition that extends the idea of maximal clique from unweighted to weighted graphs – intuitively it is a group of connected nodes with relatively large weights. Dominant Set Clustering is based on extracting groups of nodes (clusters) from the graph that satisfy the definition of dominant set. The clusters are computed by solving standard quadratic optimization problems (StQPs) and utilizing a correspondence between the solutions and graph-theoretical definition. In this thesis we study the StQP from the perspective of the Frank-Wolfe (FW) algorithm, and variants thereof, and relate them to replicator dynamics – a method commonly used for computing dominant sets. We consider standard FW, pairwise FW, and away-steps FW, and conclude that all variants perform similarly and are much more efficient compared to replicator dynamics. Explicit proofs of the convergence rate O (1/pt), in terms of the so called Frank-Wolfe gap, are also included for the FW variants when applied to the StQP.sv
dc.identifier.coursecodeDATX05sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/301400
dc.language.isoengsv
dc.setspec.uppsokTechnology
dc.subjectclusteringsv
dc.subjectconvergence ratesv
dc.subjectdominant setsv
dc.subjectrank-wolfesv
dc.subjectoptimizationsv
dc.subjectreplicator dynamicssv
dc.subjectstqpsv
dc.titleFrank-Wolfe Optimization for Dominant Set Clusteringsv
dc.type.degreeExamensarbete för masterexamensv
dc.type.uppsokH
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