Attributed Subspace Clustering
Authors: Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi
IJCAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments on several benchmark image datasets have demonstrated the effectiveness of ASC not only in terms of clustering accuracy achieved by the integrated representation, but also the diverse interpretation of data, which is beyond what current approaches can offer. |
| Researcher Affiliation | Academia | 1 Graduate School of Information Science and Technology, The University of Tokyo, Japan 2 Faculty of Science and Technology, Bournemouth University, UK 3 College of Intelligence and Computing, Tianjin University, Tianjin, China |
| Pseudocode | Yes | Algorithm 1 Solving ASC |
| Open Source Code | No | The paper does not provide any statement or link indicating that the source code for their methodology is openly available. |
| Open Datasets | Yes | The Yale1 contains 11 face images for each of 15 subjects. The COIL202 is composed of 1440 images for 20 objects. ...3http://www.cad.zju.edu.cn/home/dengcai/Data/Face Data.html |
| Dataset Splits | No | The paper lists datasets used but does not explicitly provide details about training/validation/test splits (e.g., percentages, counts, or a citation to a standard split setup). |
| Hardware Specification | No | The paper does not provide any specific hardware details (e.g., CPU, GPU models, or memory specifications) used for running the experiments. |
| Software Dependencies | No | The paper mentions using "Normalized Cuts [Shi and Malik, 2000]" but does not specify any software dependencies with version numbers (e.g., Python, PyTorch, or specific libraries). |
| Experiment Setup | Yes | For ASC, we empirically fixed (λ1, λ2) = (0.2λ3, 0.1λ3) and tuned λ3 from [0.1, 0.2, 0.3, 0.4, 0.5]. We also fixed the number of attributes V = 3 and each reduced dimension k(v) = 50 for all experiments. |