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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2881256
Abstract: Principal component analysis (PCA) and linear discriminant analysis (LDA) have been extended to be a group of classical methods in dimensionality reduction for unsupervised and supervised learning, respectively. However, compared with the PCA, the LDA…
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Keywords:
reversible discriminant;
analysis;
class scatter;
lda ... See more keywords