Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods
Summary: Benchmarks 84 time-series clustering methods across 10 classes and 128 datasets with rigorous statistics, reproducibility checks, and scalability analysis. Finds no significant improvement over decade-old k-Shape, challenging deep/foundation-model claims while identifying promising DL. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. John Paparrizos (Aristotle University of Thessaloniki; Ohio State University)
- 2. Sai Prasanna Teja Reddy Bogireddy (Exelon Utilities)
BibTeX Citation
@article{paparrizos_vldb25,
title = {{Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods}},
author = {Paparrizos, John and Bogireddy, Sai Prasanna Teja Reddy},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4380--4395},
doi = {10.14778/3749646.3749700},
url = {https://doi.org/10.14778/3749646.3749700},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,482 | TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection | 2025 | VLDB | 5.1708619e-05 |
| 9,483 | Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression | 2025 | VLDB | 5.1708619e-05 |
| 10,469 | HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series | 2026 | SIGMOD | 4.9793485e-05 |
| 10,483 | MUFASA: Fast and Accurate Multivariate Time-Series Clustering | 2026 | SIGMOD | 4.9793485e-05 |
| 10,510 | The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] | 2026 | SIGMOD | 4.9793485e-05 |
| 11,007 | GALACTICA: An Interactive System for Local and Global Counterfactual Explanations for Time-series Clustering | 2026 | VLDB | 4.9793485e-05 |
| 11,348 | BURST: Rendering Clustering Techniques Suitable for Evolving Streams | 2025 | VLDB | 4.9793485e-05 |
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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.
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Semantically Similar Papers
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|---|---|---|---|---|
| 1 | 4,703 | Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures | 2020 | SIGMOD |
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| 3 | 3,990 | Time2Feat: Learning Interpretable Representations for Multivariate Time Series Clustering | 2023 | VLDB |
| 4 | 11,457 | Representative Time Series Discovery for Data Exploration | 2025 | VLDB |
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| 7 | 10,277 | Mining and Forecasting of Big Time-series Data | 2015 | SIGMOD |
| 8 | 915 | Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures | 2008 | VLDB |
| 9 | 9,658 | Odyssey: An Engine Enabling The Time-Series Clustering Journey | 2023 | VLDB |
| 10 | 1,579 | k-Shape: Efficient and Accurate Clustering of Time Series | 2015 | SIGMOD |