Cluster-Based Approach for Visual Anomaly Detection in Multivariate Welding Process Data
We are proud to share our latest collaborative research contribution to the field of visual analytics: Our paper “Cluster-Based Approach for Visual Anomaly Detection in Multivariate Welding Process Data Supported by User Guidance” has been presented by Josef Suschnigg at ACM IUI 2025 and is now officially published in the ACM Digital Library (Open Access): https://dl.acm.org/doi/10.1145/3708359.3712076 The work introduces …
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