Sparse HJ Biplot: A New Methodology via Elastic Net

• Published in: Mathematics (Basel) Vol. 9; no. 11; p. 1298
• Main Authors: Cubilla-Montilla, Mitzi, Nieto-Librero, Ana Belén, Galindo-Villardón, M. Purificación, Torres-Cubilla, Carlos A.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2021
• Subjects: Algorithms; biplot; elastic net; Fines & penalties; Massive data points; Methods; Multivariate analysis; PCA; Principal components analysis; Regularization; Restrictions; sparse; Variables

The HJ biplot is a multivariate analysis technique that allows us to represent both individuals and variables in a space of reduced dimensions. To adapt this approach to massive datasets, it is necessary to implement new techniques that are capable of reducing the dimensionality of the data and impr...