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- W1997405004 abstract "The q-mode problem is a combinatorial optimization problem that arises in the context of partitioning a given collection of data vectors with categorical attributes. A neighborhood search algorithm is proposed for solving the q-mode problem. This algorithm is based on a very large scale neighborhood that is implicitly searched using network flow techniques. The algorithm is evaluated through a computational experiment using randomly generated instances. The results show that in general this algorithm obtains very-good-quality local optima, and that in instances with strong natural clusters the algorithm consistently finds optimal or near-optimal solutions." @default.
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- W1997405004 date "2007-07-30" @default.
- W1997405004 modified "2023-09-27" @default.
- W1997405004 title "A very large scale neighborhood search algorithm for theq-mode problem" @default.
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- W1997405004 doi "https://doi.org/10.1080/07408170701416657" @default.
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