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Data Skeleton Learning: Scalable active clustering with sparse graph structures
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AI
DOI：10.1016/j.patcog.2025.113018.png)
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Abstract
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• A novel active learning framework for constrained clustering is proposed. • Two tailored spare graph structures are proposed for large data clustering. • A probabilistic analysis is done to establish the theoretical correctness.
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