Tuesday, 14:15 - 14:40 h, Room: H 2038

 

Xuan Vinh Doan
Feature extraction and data clustering with SDP-representable norms

Coauthor: Stephen Vavasis

 

Abstract:
We propose a convex optimization formulation with some SDP-representable norms to find approximately rank-one submatrices of a given nonnegative matrix. It has several applications in data mining, which includes feature extraction and data clustering. We develop a first-order method to solve the proposed optimization problem and report some promising numerical results.

 

Talk 3 of the invited session Tue.2.H 2038
"Applications of semidefinite programming" [...]
Cluster 4
"Conic programming" [...]

 

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