Generalized Spectral Dimensionality Reduction Based on Kernel Representations and Principal Component Analysis

Conference Object

Abstract: Very often, multivariate data analysis problems require dimensionality reduction (DR) stages to eith

Palabras claves:

Dimensionality reduction, Kernel representations, Principal Component Analysis, Spectral methods

Autores:

Diego Hernán Peluffo-Ordóñez, Hasperué W., Josué Marín-Gaviño, Juan González-Vergara, MacArthur Ortega-Bustamante, Martín Vélez-Falconí

Fuentes:

scopus