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- tMiefore tMissing data in large insurance datasets affects the learning and classification accuracies in predictivemodelling. Insurance datasets will continue to increase in size as more variables are added to aid inmanaging client risk and will therefore be even more vulnerable to missing data. This paper proposes ahybrid multi
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文件名称:jqrimggd
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用于特征降维，特征融合，相关分析等,最大信噪比的独立分量分析算法，基于matlab GUI界面设计,数学方法是部分子空间法，仿真图是速度、距离、幅度三维图像，线性调频脉冲压缩的Matlab程序,能量熵的计算，三相光伏逆变并网的仿真。
- For feature reduction, feature fusion, correlation analysis, SNR largest independent component analysis algorithm, Based on matlab GUI interface design, Mathematics is part of the subspace, FIG simulation speed, distance, amplitude three-dimensional image, LFM pulse compression of the Matlab program, Energy entropy calculation, Three-phase photovoltaic inverter and network simulation.
- For feature reduction, feature fusion, correlation analysis, SNR largest independent component analysis algorithm, Based on matlab GUI interface design, Mathematics is part of the subspace, FIG simulation speed, distance, amplitude three-dimensional image, LFM pulse compression of the Matlab program, Energy entropy calculation, Three-phase photovoltaic inverter and network simulation.
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