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pro vyhledávání: '"Sawhney, Raj"'
In this article, we continue our analysis for a novel recursive modification to the Max $k$-Cut algorithm using semidefinite programming as its basis, offering an improved performance in vectorized data clustering tasks. Using a dimension relaxation
Externí odkaz:
http://arxiv.org/abs/2408.07771
In this article, we introduce a novel recursive modification to the classical Goemans-Williamson MaxCut algorithm, offering improved performance in vectorized data clustering tasks. Focusing on the clustering of medical publications, we employ recurs
Externí odkaz:
http://arxiv.org/abs/2408.07763
Autor:
Chuter, Timothy A.M., Lukaszewicz, Gregory C., Reilly, Linda M., Kerlan, Robert K., Faruqi, Rishad, Sawhney, Raj, Wall, Susan D., Canto, Catherine, LaBerge, Jean M., Gordon, Roy L., Messina, Louis M.
Publikováno v:
Journal of Endovascular Therapy; June 2000, Vol. 7 Issue: 3 p240-244, 5p