Browse State-of-the-Art › Clustering Algorithms Evaluation
Clustering Algorithms Evaluation
9 papers with code · 10 benchmarks · 13 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
10 leaderboard tables shown for this task, 10 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
13 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
9 shown of 9 papers with code (12 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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4 Oct 2021 4 repositories listed\textbf{A}ccuracy, \textbf{R}obustness to noises and scales, \textbf{I}nterpretability, \textbf{S}peed, and \textbf{E}asy to use (ARISE) are crucial requirements of a good clustering algorithm.
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20 May 2025 1 repository listedTo address these challenges, we introduce CSTS (Correlation Structures in Time Series), a synthetic benchmark for evaluating the discovery of correlation structures in multivariate time series data.
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9 Sep 2022 1 repository listedNo meaningful and coherent measurement data which could be used for training a CbM model would emerge.
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4 Sep 2020 1 repository listedIn particular, we elaborate on the use of AUC as an internal/relative measure of clustering quality, which we refer to as Area Under the Curve for Clustering (AUCC).
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2 Sep 2020 1 repository listedAnd, to have more CVIs is crucial because there is no universal CVI that can be used to measure all datasets, and no specific method for selecting a proper CVI for clusters without true labels.
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12 Oct 2019 1 repository listedMassive online open course (MOOC) platform generates a large amount of data, which provides many opportunities for studying the behaviors of learners.
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22 Mar 2019 1 repository listedOne reason is that the measure of cluster separation does not consider the impact of outliers and neighborhood clusters.
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17 Nov 2018 1 repository listedThere is a great diversity of clustering and community detection algorithms, which are key components of many data analysis and exploration systems.
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5 Oct 2018 1 repository listedTo match the implicit assumption, we propose to transform a given dataset such that the transformed clusters have approximately the same density while all regions of locally low density become globally low density --…
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