Invasive Weed Optimization (IWO) algorithm feature selection

Invasive Weed Optimization (IWO) algorithm feature selection
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更新时间 2022/4/14

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% Invasive Weed Optimization (IWO) algorithm feature selection
% You can use your own data or change number of features by "nf"
% "nVar" should be equal with total number of features
%----------------------------------------------------------------------
% Quote: "If you set your goals ridiculously high and it's a failure,
% you will fail above everyone else's success
% James Cameron
% ---------------------------------------------------------------------

引用格式

S. Muhammad Hossein Mousavi (2024). Invasive Weed Optimization (IWO) algorithm feature selection (https://www.mathworks.com/matlabcentral/fileexchange/110040-invasive-weed-optimization-iwo-algorithm-feature-selection), MATLAB Central File Exchange. 检索来源 .

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1.0.0