RT Conference Proceedings T1 Deterministic graph spectral sparsification A1 Mendoza Granada, Fabricio Augusto A1 Cáceres Mercado, Sergio A1 Villagra, Marcos A2 Universidad Nacional de Asunción - Facultad Politécnica AB An important technique in data analysis is principal component analysis or PCA. Given a covariance matrix S, in PCA we need to compute the eigenvector associated to a greatest eigenvalue of S in order to determine the direction of the so-called principal components. YR 2018 FD 2018 LK http://hdl.handle.net/20.500.14066/3728 UL http://hdl.handle.net/20.500.14066/3728 LA eng NO CONACYT – Consejo Nacional de Ciencia y Tecnología DS MINDS@UW RD 16-jun-2024