An integrated interpretation and clustering model based on attribute grouping
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DOI: 10.1007/s10489-025-06262-2
Abstract: Clustering is a technique in unsupervised learning used to group unlabeled data. However, traditional clustering algorithms cannot provide explanations for the clustering process and its results, which limits their applicability in certain fields. Existing methods… read more here.
Keywords: clustering model; interpretability; clustering process; interpretation clustering ... See more keywords