Adaptive sparse representation guided unsupervised dimensionality reduction
نویسندگان
چکیده
منابع مشابه
Sparse Unsupervised Dimensionality Reduction Algorithms
Principal component analysis (PCA) and its dual—principal coordinate analysis (PCO)—are widely applied to unsupervised dimensionality reduction. In this paper, we show that PCA and PCO can be carried out under regression frameworks. Thus, it is convenient to incorporate sparse techniques into the regression frameworks. In particular, we propose a sparse PCA model and a sparse PCO model. The for...
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ژورنال
عنوان ژورنال: Journal of Shenzhen University Science and Engineering
سال: 2020
ISSN: 1000-2618
DOI: 10.3724/sp.j.1249.2020.04425