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Part 1: Document Description
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Citation |
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Title: |
Supplemental Material for Uncertainty-Aware Multidimensional Scaling |
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Identification Number: |
doi:10.18419/darus-3104 |
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Distributor: |
DaRUS |
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Date of Distribution: |
2022-10-13 |
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Version: |
1 |
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Bibliographic Citation: |
Hägele, David; Krake, Tim; Weiskopf, Daniel, 2022, "Supplemental Material for Uncertainty-Aware Multidimensional Scaling", https://doi.org/10.18419/darus-3104, DaRUS, V1 |
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Citation |
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Title: |
Supplemental Material for Uncertainty-Aware Multidimensional Scaling |
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Identification Number: |
doi:10.18419/darus-3104 |
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Authoring Entity: |
Hägele, David (Universität Stuttgart) |
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Krake, Tim (Universität Stuttgart) |
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Weiskopf, Daniel (Universität Stuttgart) |
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Grant Number: |
251654672 |
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Distributor: |
DaRUS |
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Access Authority: |
Hägele, David |
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Access Authority: |
Krake, Tim |
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Access Authority: |
Weiskopf, Daniel |
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Depositor: |
Hägele, David |
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Date of Deposit: |
2022-08-03 |
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Holdings Information: |
https://doi.org/10.18419/darus-3104 |
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Study Scope |
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Keywords: |
Computer and Information Science, Information Visualization, Dimension Reduction (Statistics), Uncertainty |
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Abstract: |
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. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
D. Hägele, T. Krake and D. Weiskopf, "Uncertainty-Aware Multidimensional Scaling," in IEEE Transactions on Visualization and Computer Graphics, 2022. |
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Identification Number: |
10.1109/TVCG.2022.3209420 |
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Bibliographic Citation: |
D. Hägele, T. Krake and D. Weiskopf, "Uncertainty-Aware Multidimensional Scaling," in IEEE Transactions on Visualization and Computer Graphics, 2022. |
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Label: |
additional-figures.tar.gz |
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Text: |
Archive containing the image files of the additional figures. |
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Notes: |
application/gzip |
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Label: |
uamds-supplemental-material.pdf |
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Text: |
Supplemental material containing the mathematical derivation of the stress term and gradient of UAMDS for normal distributions. Also contains additional figures. |
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Notes: |
application/pdf |