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Anchor point segmentation based multi-view clustering
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AI
DOI：10.1016/j.neunet.2025.108175.png)
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Abstract
En 中文
• We propose an anchor point segmentation based multi-view clustering method. • The partition issue of all samples is reformulated as a two-step transition in a Markov chain. • The proposed method effectively tackles the out-of-sample problem. • Experimental results on real datasets demonstrate the effectiveness of the proposed method