TY  - CPAPER 
AU  - Mendoza Granada, Fabricio Augusto
AU  - Cáceres Mercado, Sergio
AU  - Villagra, Marcos
A4  - Universidad Nacional de Asunción - Facultad Politécnica
PY  - 2018
UR  - http://hdl.handle.net/20.500.14066/3728
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...
LA  - eng
KW  - 4 Transporte, telecomunicaciones y otras infraestructuras
KW  - MATEMATICAS
TI  - Deterministic graph spectral sparsification
ER  -