SmartIterator: Visual Analytics Workflows for Supervising Unsupervised Data Grouping 事件

SmartIterator: Visual Analytics Workflows for Supervising Unsupervised Data Grouping arXiv:2605.28219v1 Announce Type: cross Abstract: Unsupervised learning methods -- topic modeling, partition-based and density-based clustering -- produce data groupings without human guidance, yet choosing and evaluating those groupings should not itself be unsupervised. We present \emph{SmartIterator}~(SI), a visual analytics approach that treats the full sequence of grouping results across a parameter sweep