Analyzing the quality of local and global multidimensional projections using performance evaluation planning

DOI10.1016/J.TCS.2020.12.043zbMATH Open1504.68196OpenAlexW3118437407MaRDI QIDQ2034768

Edson Mota, Danilo B. Coimbra, Rafael M. Martins, Tacito Tiburtino, Maycon L. M. Peixoto, Pedro Diamantino

Publication date: 23 June 2021

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2020.12.043

zbMATH Keywords

dimensionality reductionquality metricsmultidimensional projectionsperformance evaluation planning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Factorial statistical designs (62K15) Statistical aspects of big data and data science (62R07) Computational aspects of data analysis and big data (68T09)

Cites Work

• Unnamed Item
• Principal component analysis.
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
• Full Factorial Design, Taguchi Design or Genetic Algorithms — Teaching Different Approaches to Design of Experiments

Uses Software

• t-SNE
• UMAP

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