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A combinatorial approach to the classification problem
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DOI：10.1016/S0377-2217(98)00229-X.png)
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We study the two-group classification problem which involves classifying an observation into one of two groups based on its attributes. The classification rule is a hyperplane which misclassifies the fewest number of observations in the training sample. Exact and heuristic algorithms for solving the problem are presented. Computational results confirm the efficiency of this approach. (C) 1999 Elsevier Science B.V. AU rights reserved.
Keyword:
classification problem
branch and bound
heuristics
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6
论文数:
2.2W
被引数:
6.4W
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