Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data
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: Data Mining and Knowledge Discovery
سال: 2019
ISSN: 1384-5810,1573-756X
DOI: 10.1007/s10618-019-00616-4