Cross-Domain Contrastive Learning for Time Series Clustering
Authors: Furong Peng, Jiachen Luo, Xuan Lu, Sheng Wang, Feijiang Li
AAAI 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Extensive experiments and visualization analysis are conducted on 40 time series datasets from UCR, demonstrating the superior performance of the proposed model. |
| Researcher Affiliation | Academia | Furong Peng1, 2, Jiachen Luo1, 2, Xuan Lu3*, Sheng Wang4, Feijiang Li1, 2 1 Institute of Big Data Science and Industry, Shanxi University 2 School of Computer and Information Technology, Shanxi University 3 College of Physics and Electronic Engineering, Shanxi University 4 School of Automation, Zhengzhou University of Aeronautics |
| Pseudocode | No | The paper describes the model architecture and mathematical formulations, but it does not include structured pseudocode or algorithm blocks. |
| Open Source Code | Yes | 2https://github.com/Jiac Luo/CDCC |
| Open Datasets | Yes | experiments were conducted on 40 time series datasets from UCR1 (Dau et al. 2019). |
| Dataset Splits | No | The training and testing sets from the UCR were merged for evaluation. The paper mentions training and testing sets, but does not specify a separate validation split or explicit cross-validation methodology. |
| Hardware Specification | Yes | The experiments were conducted on a DCU Z100SM (16GB) computing card using Py Torch environment. |
| Software Dependencies | No | The experiments were conducted on a DCU Z100SM (16GB) computing card using Py Torch environment. While PyTorch is mentioned, a specific version number is not provided, nor are other software dependencies with version numbers. |
| Experiment Setup | Yes | In CDCC, τ I = 0.5, and τ C = 1. The learning rate, the number of layers in Bi LSTM, batch size and the dropout rate was searched. [...] We set α = 0.8, β = 1.1, and γ = 0.8. [...] In our experiments, we set ω = 0.1, θ = 0.1, and ϵ = 0.1. |