On the Role and Impact of the Metaparameters in t-distributed Stochastic Neighbor Embedding

DOI10.1007/978-3-7908-2604-3_31zbMath1436.62144OpenAlexW2136550142MaRDI QIDQ3298484

Michel Verleysen, John A. N. Lee

Publication date: 14 July 2020

Published in: Proceedings of COMPSTAT'2010 (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-7908-2604-3_31

zbMATH Keywords

dimensionality reductionmanifold learningnonlinear projectiont-SNEsimilarity-based embedding

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08)

Uses Software

• t-SNE

Cites Work

• Unnamed Item
• The analysis of proximities: Multidimensional scaling with an unknown distance function: I, II
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
• Nonlinear Dimensionality Reduction
• Machine Learning: ECML 2004

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