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  1. ummarize our contributions as follows. To the best of our knowledge, this is the rst work to study the problem of intra-cluster diversity maxi-mization i the presence of overlapping clusters. We …

  2. We propose two new constraints relating to inter-cluster consistency and intra-cluster diversity among views to improve the clustering performance. Based on the new constraints above, we …

  3. We propose an algorithm that greedily adds a pair of objects instead of a single-ton, and which attains a constant approximation factor over clustered data. We further extend the algorithm to …

  4. [2001.03050] Maximizing diversity over clustered data - arXiv.org

    Jan 9, 2020 · We propose an algorithm that greedily adds a pair of objects instead of a singleton, and which attains a constant approximation factor over clustered data. We further extend the …

  5. insomnia7/iclr2026_stats · Datasets at Hugging Face

    insomnia7/iclr2026_stats · Datasets at Hugging Facetrain · 19.5k rows

  6. Multi-view subspace clustering with inter-cluster ... - Springer

    Jan 4, 2022 · In this paper, we explore two new constraints: inter-cluster consistency among views (ICAV) and intra-cluster diversity among views (IDAV). Based on IDAV, we propose a …

  7. The maximum inter-cluster diversity was found between IV and V (82.60), while cluster V (6.12) had the highest intra-cluster diversity.

  8. Description: Multi-view subspace clustering with inter-cluster ...

    Multi-view subspace clustering with inter-cluster consistency and intra-cluster diversity among views

  9. Multi-view subspace clustering with inter-cluster consistency and …

    Article "Multi-view subspace clustering with inter-cluster consistency and intra-cluster diversity among views" Detailed information of the J-GLOBAL is an information service managed by the …

  10. Oct 29, 2024 · Intra-cluster Diversity Reduction: We gradually replace unique sequences within each cluster with duplicates, maintaining the overall cluster structure while reducing local …