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- W2964656893 abstract "Dimension reduction and classification of data is an important issue in the data processing. Reduct in the rough set is a minimal subset of features, which has the same discernible power as the entire features in the higher dimensional scheme. Boolean threshold function was of fundamental interest for classification function. The nearest neighbor relation with minimal distance proposed here has a fundamental information for classification. Further, the nearest neighbor relation plays a crucial role for generation of reducts and threshold functions using the Boolean reasoning on the discernibility and in discernibility matrices, in which the indiscernibility matrix is proposed here to test the sufficient condition for reduct and threshold function. Then, a genetation method for the threshold functions based on the nearest neighbor relation are proposed here using Boolean operations." @default.
- W2964656893 created "2019-08-13" @default.
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- W2964656893 date "2017-07-01" @default.
- W2964656893 modified "2023-09-25" @default.
- W2964656893 title "Characterization and Generation of Threshold Functions Based on Nearest Neighbor Relations" @default.
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- W2964656893 doi "https://doi.org/10.1109/acit-csii-bcd.2017.24" @default.
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