SinoXiv
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Clustering is widely used to discover interpretable structure in data, but conventional unsupervised methods group examples by \emph{feature similarity} alone, ignoring any available prediction tar...
supervised clustering
prototype learning
cross-attention
interpretable machine learning
tabular data
regime discovery
