(PrincipleComponentAnalysis,PCA)是最为常用的特征提取方法-PCA,KPCA完整程序-Matlab - IMDN开发者社群-imdn.cn" /> (PrincipleComponentAnalysis,PCA)是最为常用的特征提取方法,被广泛应用到各领域,如图像处理、综合评价、语音识别、故障诊断等。它通过对原始数据的加工处理,简化问题处理的难度并提高数据信息的信噪比,以改善抗干扰能力。-IMDN开发者社群-imdn.cn"> (PrincipleComponentAnalysis,PCA)是最为常用的特征提取方法,被广泛应用到各领域,如图像处理、综合评价、语音识别、故障诊断等。它通过对原始数据的加工处理,简化问题处理的难度并提高数据信息的信噪比,以改善抗干扰能力。 - IMDN开发者社群-imdn.cn">
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PCA,KPCA完整程序

于 2022-01-26 发布 文件大小:2.66 kB
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