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Application of Resampling Methods to the Choice of Dimension in Principal Component Analysis

机译：重采样法在主成分分析中尺寸选择中的应用

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Ph Besse And; Ph. Besse; A. De Falguerolles;
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年度 1993
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1. Dimensionality choice in principal components analysis via cross-validatory methods [J] . Peyman Eshghi Chemometrics and Intelligent Laboratory Systems . 2014,第Null期

机译：通过交叉验证方法进行主成分分析中的尺寸选择
2. Face Recognition Based on Two-dimensional Principal Component Analysis and Kernel Principal Component Analysis [J] . Chunyu Chen, Keyu Xie Information Technology Journal . 2012,第12期

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3. Face Recognition Based on Two-dimensional Principal Component Analysis and Kernel Principal Component Analysis [J] . Chunyu Chen, Keyu Xie Information Technology Journal . 2012,第12期

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4. Application of Principal Component Analysis with High-Order Truncated Gradient Ascent Method in Data Dimension Reduction [C] . Qi-Fei Ge, Zan Yang, Peng-Cheng Zhang, International Computer Conference on Wavelet Active Media Technology and Information Processing . 2019

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5. Resampling methods for high-dimensional data and nonparametric regression with applications to brain imaging, bioinformatics, and sleep /circadian medicine [D] . Torgovitsky, Roman J. 2008

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6. Longitudinal High-Dimensional Principal Components Analysis with Application to Diffusion Tensor Imaging of Multiple Sclerosis [O] . Vadim Zipunnikov, Sonja Greven, Haochang Shou, -1

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7. Application of Resampling Methods to the Choice of Dimension in Principal Component Analysis [O] . Ph. Besse, A. de Falguerolles 1993

机译：重采样方法在主成分分析中维数选择中的应用

Application of Resampling Methods to the Choice of Dimension in Principal Component Analysis

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