Understanding the Generalization Performance of Spectral Clustering Algorithms
Authors: Shaojie Li, Sheng Ouyang, Yong Liu
AAAI 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Numerical experiments on toy and real datasets confirm the effectiveness of our proposed algorithms. |
| Researcher Affiliation | Academia | 1Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China 2Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China {lishaojie95, ouyangsheng, liuyonggsai}@ruc.edu.cn |
| Pseudocode | Yes | The pseudocode of POD is shown in Algorithm 3 in the Appendix. |
| Open Source Code | No | The paper does not provide an explicit statement or link for the release of source code for the described methodology. |
| Open Datasets | No | The paper mentions "toy and real datasets" for numerical experiments but does not provide specific names, links, or citations for publicly available datasets. |
| Dataset Splits | No | The paper states that experimental settings are left to the Appendix, meaning specific dataset splits are not provided in the main text. |
| Hardware Specification | No | The paper does not provide specific hardware details used for running experiments. |
| Software Dependencies | No | The paper does not provide specific software names with version numbers. |
| Experiment Setup | No | The paper states that experimental settings are left to the Appendix, meaning specific details like hyperparameters are not provided in the main text. |