Multidimensional Projection for Visual Analytics: Linking Techniques with Distortions, Tasks, and Layout Enrichment

• Published in: IEEE transactions on visualization and computer graphics Vol. 25; no. 8; pp. 2650 - 2673
• Main Authors: Nonato, Luis Gustavo, Aupetit, Michael
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.08.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Analytics; Data visualization; dimensionality reduction; Distortion; Enrichment; error analysis; Human factors; Impact analysis; Layout; layout enrichment; Layouts; Mathematical analysis; Multidimensional data; Multidimensional projection; multidimensional scaling; Online analytical processing; Qualitative analysis; Scattering; Task analysis; Taxonomy; Trustworthiness; Visual perception; Visual tasks; Visualization

Visual analysis of multidimensional data requires expressive and effective ways to reduce data dimensionality to encode them visually. Multidimensional projections (MDP) figure among the most important visualization techniques in this context, transforming multidimensional data into scatter plots wh...