Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods
Summary: Benchmark of 84 time-series clustering methods (10 classes) on 128 datasets with rigorous statistical evaluation and reproducibility checks, covering data-mining, ML, and deep-learning (including foundation models). No method significantly beats decade-old k-Shape; elastic-distance and DL superiority challenged, reproducibility issues exposed, open-sourced benchmark and one promising DL approach highlighted. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,718 | BURST: Rendering Clustering Techniques Suitable for Evolving Streams | 2025 | VLDB | 4.1945683e-05 |
| 10,738 | TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection | 2025 | VLDB | 4.1945683e-05 |
| 10,741 | Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression | 2025 | VLDB | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,853 | Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures | 2020 | SIGMOD | 5.8760276e-05 |
| 662 | A Framework for Clustering Evolving Data Streams | 2003 | VLDB | 0.00018475968 |
| 6,851 | Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering | 2023 | VLDB | 4.9084229e-05 |
| 10,884 | Representative Time Series Discovery for Data Exploration | 2025 | VLDB | 4.1945683e-05 |
| 12,276 | Parsimonious Linear Fingerprinting for Time Series | 2010 | VLDB | 4.1945683e-05 |
| 8,187 | FeatTS: Feature-based Time Series Clustering | 2021 | SIGMOD | 4.5650405e-05 |
| 9,920 | Mining and Forecasting of Big Time-series Data | 2015 | SIGMOD | 4.2561557e-05 |
| 1,161 | Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures | 2008 | VLDB | 0.00013585236 |
| 9,329 | Odyssey: An Engine Enabling The Time-Series Clustering Journey | 2023 | VLDB | 4.3556432e-05 |
| 1,516 | k-Shape: Efficient and Accurate Clustering of Time Series | 2015 | SIGMOD | 0.00011586255 |