Supplemental Material for Uncertainty-Aware Multidimensional Scaling

Supplemental Material for Uncertainty-Aware Multidimensional Scaling

This dataset contains the supplemental material for "Uncertainty-Aware Multidimensional Scaling". Uncertainty-aware multidimensional scaling (UAMDS) is a nonlinear dimensionality reduction technique for sets of random vectors. This dataset consists of a PDF document that contains a detaile...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Hägele, David, Krake, Tim, Weiskopf, Daniel
Format: Dataset
Sprache:eng
Schlagworte:
Computer and Information Science
Dimension Reduction (Statistics)
Information Visualization
Uncertainty
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Beschreibung
Zusammenfassung:This dataset contains the supplemental material for "Uncertainty-Aware Multidimensional Scaling". Uncertainty-aware multidimensional scaling (UAMDS) is a nonlinear dimensionality reduction technique for sets of random vectors. This dataset consists of a PDF document that contains a detailed mathematical derivation for the normal distribution UAMDS algorithm, and additional visualizations.
DOI:10.18419/darus-3104