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- W2132157225 abstract "A new method to solve the convex hull problem in n-dimensional spaces is proposed in this paper. At each step, a new point is added into the convex hull if the point is judged to be out of the current convex hull by a linear programming model. For the linear separable classification problem, if an instance is regarded as a point of the instances space, the overlap does not still occur between the convex hulls of different classes after a feature is deleted, then we can delete that feature. Repeat this process, an algorithm for feature selection is given. Experimental results show the effectiveness of the algorithm." @default.
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- W2132157225 date "2008-07-01" @default.
- W2132157225 modified "2023-09-23" @default.
- W2132157225 title "A new algorithm for solving convex hull problem and its application to feature selection" @default.
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- W2132157225 doi "https://doi.org/10.1109/icmlc.2008.4620433" @default.
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