Sparse Principal Component Analysis (SPCA). Sparse principal component analysis (SPCA) attempts to find sparse weight vectors (loadings), i.e., a weight vector with only a few 'active' (nonzero) values. This approach provides better interpretability for the principal components in high-dimensional data settings. This is, because the principal
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Last updated · 2018-04-11T07:17:42+00:00