Browse State-of-the-Art › Multi-view Subspace Clustering
Multi-view Subspace Clustering
17 papers with code · 2 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| ORL (3 rows) | MvDSCN | Multi-view Deep Subspace Clustering Networks | code | — | Compare |
| ARL Polarimetric Thermal Face Dataset (1 row) | DMSC | Deep Multimodal Subspace Clustering Networks | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
17 shown of 17 papers with code (46 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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21 Feb 2022 3 repositories listedSpecifically, multiple affinity matrices constructed from the incomplete multi-view data are treated as a thirdorder low rank tensor with a tensor factorization regularization which preserves the high-order view…
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21 Nov 2019 2 repositories listedA plethora of multi-view subspace clustering (MVSC) methods have been proposed over the past few years.
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6 Aug 2019 2 repositories listedDnet learns view-specific self-representation matrices, whereas Unet learns a common self-representation matrix for all views.
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29 Aug 2017 2 repositories listedMost existing approaches address multi-view subspace clustering problem by constructing the affinity matrix on each view separately and afterwards propose how to extend spectral clustering algorithm to handle multi-view…
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22 Dec 2023 1 repository listedSpecifically, we stack the data matrices from various views into the block-diagonal locations of the augmented matrix to exploit the complementary information.
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11 Oct 2023 1 repository listedHowever, we propose Anchor-based Multi-view Subspace Clustering with Hierarchical Feature Descent(MVSC-HFD) to tackle the discrepancy among views through hierarchical feature descent and project to a common subspace(…
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16 May 2023 1 repository listedBenefiting from multiple interactions among orthogonal/semi-orthogonal (low-rank) factors, the low-rank MERA has a strong representation power to capture the complex inter/intra-view information in the…
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11 May 2023 1 repository listedTo significantly reduce the complexity, we construct an anchor graph with small size for each view.
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15 Mar 2022 1 repository listedSecond, many of them overlook the local structures of multiple views and cannot jointly leverage multiple local structures to enhance the subspace representation learning.
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12 Jan 2022 1 repository listedTo utilize the multi-view information sufficiently, we design a specific graph learning method by introducing graph regularization and a local structure fusion pattern.
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18 Jun 2021 1 repository listedIn recent years, multi-view subspace clustering has achieved impressive performance due to the exploitation of complementary imformation across multiple views.
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20 Nov 2020 1 repository listedHowever, different views often have distinct incompleteness, i.
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19 Oct 2020 1 repository listedFurthermore, underlying graph information of multi-view data is always ignored in most existing multi-view subspace clustering methods.
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1 Feb 2020 1 repository listedWith the rapid development of multimedia technologies, we frequently confront with high-dimensional data and multi-view data, which usually contain redundant features and distinct types of features.
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19 Jun 2019 1 repository listedMulti-view clustering is an important and fundamental problem.
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30 Jan 2019 1 repository listedTo this end, this paper proposes a novel multi-view subspace clustering approach dubbed Feature Concatenation Multi-view Subspace Clustering (FCMSC), which boosts the clustering performance by exploring the consensus…
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17 Apr 2018 1 repository listedIn addition to various spatial fusion-based methods, an affinity fusion-based network is also proposed in which the self-expressive layer corresponding to different modalities is enforced to be the same.
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