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 24-nov-2024