PCA for dimension reduction in 1D data

版本 1.0.0 (2.1 KB) 作者: Selva
using principal component analysis for dimension reduction of feature vector in the SVM classification problem
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更新时间 2018/9/28

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PCA is used for projecting data matrix from higher dimension to lower dimension

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Selva (2024). PCA for dimension reduction in 1D data (https://www.mathworks.com/matlabcentral/fileexchange/68942-pca-for-dimension-reduction-in-1d-data), MATLAB Central File Exchange. 检索时间: .

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1.0.0