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PCA for dimension reduction in 1D data

버전 1.0.0 (2.05 KB) 작성자: Selva
using principal component analysis for dimension reduction of feature vector in the SVM classification problem

다운로드 수: 212

업데이트 날짜: 2018/9/28

라이선스 보기

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

인용 양식

Selva (2022). 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. 검색됨 .

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