Image/Document Clustering

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 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.

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

8 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (8 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.

• Robust Graph Learning from Noisy Data
  17 Dec 2018 2 repositories listed
  The proposed model is able to boost the performance of data clustering, semisupervised classification, and data recovery significantly, primarily due to two key factors: 1) enhanced low-rank recovery by exploiting the…
• Divide-and-conquer based Large-Scale Spectral Clustering
  30 Apr 2021 1 repository listed
  In this paper, we propose a divide-and-conquer based large-scale spectral clustering method to strike a good balance between efficiency and effectiveness.
• Ensemble Learning for Spectral Clustering
  20 Nov 2020 1 repository listed
  Instead of directly using the clustering results obtained from each base spectral clustering algorithm, the proposed method learns a robust presentation of graph Laplacian by ensemble learning from the spectral…
• Deep Embedded SOM: Joint Representation Learning and Self-Organization
  24 Apr 2019 1 repository listed
  In the wake of recent advances in joint clustering and deep learning, we introduce the Deep Embedded Self-Organizing Map, a model that jointly learns representations and the code vectors of a self-organizing map.
• An Internal Validity Index Based on Density-Involved Distance
  22 Mar 2019 1 repository listed
  One reason is that the measure of cluster separation does not consider the impact of outliers and neighborhood clusters.
• Scalable Spectral Clustering Using Random Binning Features
  25 May 2018 1 repository listed
  Moreover, our method exhibits linear scalability in both the number of data samples and the number of RB features.