Research Article
Quantum-Based Feature Selection for Multiclassification Problem in Complex Systems with Edge Computing
| (1) | Init WT = (0, …, 0)T | | (2) | for t = 1 to T do | | (3) | Pick a sample u randomly | | (4) | Find k nearest neighbor samples Hjfrom the same class of sample u | | (5) | for Cp ≠ class(u) do | | (6) | Find k nearest neighbor samples Mj(Cp) from the different Class Cp | | (7) | end | | (8) | for i = 1 to N do | | (9) | | | (10) | end | | (11) | end | | (12) | Select the most relevant features according to WT and τ |
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