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