Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization

By Enrico Bertini, Andrada Tatu, Daniel A. Keim. IEEE Transactions on Visualization and Computer Graphics, 2011

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Voyager 2: Augmenting Visual Analysis with Partial View Specifications (2017, background): “Quality metrics [4] and scagnostics [1, 36] can also help identify interesting data fields.”
Knowledge Generation Model for Visual Analytics (2014, background): “[3] gives an overview of quality metrics approaches.”
A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges (2013, background): “Bertini et al.[17] proposed overlaying the Quality-Metrics-Driven Automation on the classic pipeline[16].”
Explainable artificial intelligence for breast cancer: A visual case-based reasoning approach (2019, background): “Various quality metrics have been proposed for high-dimensional data visualization [31].”
Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey (2013, unknown): “[114], [115]; machine learning [91], [135], [136] clustering [68], [130]; data binning [69]; PCA [78]; MDS [86], [87]; SOM [88], [89]; projections [47], [48], [130], [132]; point clouds [129]”