Nonlinear dimensionality reduction with q-Gaussian distribution

• Published in: Pattern analysis and applications : PAA Vol. 27; no. 1
• Main Authors: Abe, Motoshi, Nomura, Yuichiro, Kurita, Takio
• Format: Journal Article
• Language: English
• Published: London Springer London 01.03.2024; Springer Nature B.V
• Subjects: Approximation; Classification; Computer Science; Embedding; Manifolds (mathematics); Mathematical analysis; Normal distribution; Pattern Recognition; Reduction; Statistical analysis; Theoretical Advances; Dimensionality reduction; t-SNE; q-Gaussian distribution; UMAP Hiroshima University

In recent years, the dimensionality reduction has become more important as the number of dimensions of data used in various tasks such as regression and classification has increased. As popular nonlinear dimensionality reduction methods, t-distributed stochastic neighbor embedding (t-SNE) and unifor...