Odyssey: An Engine Enabling The Time-Series Clustering Journey
Summary: Odyssey is a modular web engine that rigorously benchmarks 80 time‑series clustering methods across 9 classes on 128 diverse datasets. It exposes overlooked high-performing classes, challenges elastic-distance and deep‑learning claims, and finds no method significantly outperforming k‑Shape. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,599 | SPARTAN: Data-Adaptive Symbolic Time-Series Approximation | 2025 | SIGMOD | 4.3177432e-05 |
| 10,466 | A Structured Study of Multivariate Time-Series Distance Measures | 2025 | SIGMOD | 4.1945683e-05 |
| 10,524 | Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data | 2025 | SIGMOD | 4.1945683e-05 |
| 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 |
| 11,059 | DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series | 2024 | VLDB | 4.1945683e-05 |
| 11,094 | Time-Series Anomaly Detection: Overview and New Trends | 2024 | VLDB | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next