%0 Conference Paper %1 11329412 %A Klötzl, Daniel %A Tastekin, Ozan %A Hägele, David %A Evers, Marina %A Weiskopf, Daniel %B 2025 IEEE Workshop on Uncertainty Visualization: Unraveling Relationships of Uncertainty, AI, and Decision-Making %D 2025 %K %P 38-47 %R 10.1109/UncertaintyVisualization68947.2025.00010 %T Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models

@inproceedings{11329412, added-at = {2026-05-11T10:33:28.000+0200}, author = {Klötzl, Daniel and Tastekin, Ozan and Hägele, David and Evers, Marina and Weiskopf, Daniel}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/26f3691850d0b36257f7aeef63615c4fc/kloetzdl}, booktitle = {2025 IEEE Workshop on Uncertainty Visualization: Unraveling Relationships of Uncertainty, AI, and Decision-Making}, doi = {10.1109/UncertaintyVisualization68947.2025.00010}, interhash = {60ed0583d8133d0122f9ff7e0b6c71c0}, intrahash = {6f3691850d0b36257f7aeef63615c4fc}, keywords = {}, pages = {38-47}, timestamp = {2026-05-11T08:33:28.000+0200}, title = {Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models}, year = 2025 }