Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

2,141 to 2,150 of 2,159 Results
uapca-01.50.svg
Dec 7, 2022 - Replication Data for: Uncertainty-Aware Principal Component Analysis
SVG Image - 4.2 KB - MD5: 554d01ca5d7e8f85821f524a9f2589bd
uapca-02.00.svg
Dec 7, 2022 - Replication Data for: Uncertainty-Aware Principal Component Analysis
SVG Image - 4.2 KB - MD5: 509a129bb26b4f3fdd8240bedfb47956
uapca-02.75.svg
Dec 7, 2022 - Replication Data for: Uncertainty-Aware Principal Component Analysis
SVG Image - 4.2 KB - MD5: b77d5c2643e9d132f97a9d55fb8be16e
uapca-03.50.svg
Dec 7, 2022 - Replication Data for: Uncertainty-Aware Principal Component Analysis
SVG Image - 4.2 KB - MD5: 620c2ce30b1b3ffdc8f457878cfc30fe
uapca-05.00.svg
Dec 7, 2022 - Replication Data for: Uncertainty-Aware Principal Component Analysis
SVG Image - 4.2 KB - MD5: fce3818017f2f23c7b9d1b1a27170e78
uapca-07.00.svg
Dec 7, 2022 - Replication Data for: Uncertainty-Aware Principal Component Analysis
SVG Image - 4.2 KB - MD5: 6fd29144b49f7e83c079545872cfbfff
uapca-0.8.0.tar.gz
Dec 7, 2022 - Replication Data for: Uncertainty-Aware Principal Component Analysis
Gzip Archive - 785.7 KB - MD5: 296b75812db26ca4644095fcbb5dc840
uapca-10.00.svg
Dec 7, 2022 - Replication Data for: Uncertainty-Aware Principal Component Analysis
SVG Image - 4.2 KB - MD5: 1fcd1e428fb0ff8e7733342362589455
uapca-14.00.svg
Dec 7, 2022 - Replication Data for: Uncertainty-Aware Principal Component Analysis
SVG Image - 4.2 KB - MD5: 4f2d196bf83188473eaa19ce9de7b33c
Supplemental Material for Uncertainty-Aware Multidimensional Scaling
Oct 13, 2022
Hägele, David; Krake, Tim; Weiskopf, Daniel, 2022, "Supplemental Material for Uncertainty-Aware Multidimensional Scaling", https://doi.org/10.18419/DARUS-3104, DaRUS, V1
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...
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.