Clustering Ensemble

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.

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

2 datasets 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

5 shown of 5 papers with code (25 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.

• k-HyperEdge Medoids for Clustering Ensemble
  11 Dec 2024 1 repository listed
  In this paper, the clustering ensemble is formulated as a k-HyperEdge Medoids discovery problem and a clustering ensemble method based on k-HyperEdge Medoids that considers the characteristics of the above two types of…
• Clustering Ensemble Meets Low-rank Tensor Approximation
  16 Dec 2020 1 repository listed
  The existing clustering ensemble methods generally construct a co-association matrix, which indicates the pairwise similarity between samples, as the weighted linear combination of the connective matrices from different…
• Ensemble clustering based on evidence extracted from the co-association matrix
  1 Aug 2019 1 repository listed
  The evidence accumulation model is an approach for collecting the information of base partitions in a clustering ensemble method, and can be viewed as a kernel transformation from the original data space to a…
• 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.
• The Impact of Random Models on Clustering Similarity
  23 Jan 2017 1 repository listed
  It is often argued that, in order to establish a baseline, clustering similarity should be assessed in the context of a random ensemble of clusterings.