Constrained clustering: general pairwise and cardinality constraints

HIGHLIGHTS

  • who: ADEL BIBI and collaborators from the Center for Artificial Intelligence (CAI), King Khalid University, Abha, Saudi Arabia have published the paper: Constrained Clustering: General Pairwise and Cardinality Constraints, in the Journal: (JOURNAL)
  • what: The authors show that the method is robust to initialization. The authors propose a unified model to incorporate both categories of constraints to guide the clustering process. The authors propose to equivalently transform the binary and quadratic constraints in the original problem to continuous and bi-linear constraints, to obtain a simple continuous reformulation. The approach demonstrate competitive edge over all . . .

     

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