Weighted Multi-View Spectral Clustering Based on Spectral Perturbation
Authors: Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu
AAAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results demonstrate the superiority of the proposed algorithm. |
| Researcher Affiliation | Academia | Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu School of Software, Dalian University of Technology, Dalian, China Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China llzong@dlut.edu.cn, xczhang@dlut.edu.cn, xyliu@dlut.edu.cn, hongyu@dlut.edu.cn |
| Pseudocode | Yes | Algorithm 1 WMSC algorithm |
| Open Source Code | No | The paper does not provide an explicit statement or a direct link to the source code for the methodology described. |
| Open Datasets | Yes | We experiment on four benchmark datasets: Three Sources1, UCI Handwritten digits data2, Flickr (Liu et al. 2015) and Cornell3. 1http://mlg.ucd.ie/datasets/3sources.html 2https://archive.ics.uci.edu/ml/datasets/Multiple+Features 3http://www.cs.cmu.edu/afs/cs.cmu.edu/project/theo20/www/data/ |
| Dataset Splits | No | The paper mentions running algorithms and evaluating performance but does not specify exact training, validation, or test dataset splits, percentages, or cross-validation setups. |
| Hardware Specification | No | The paper does not explicitly describe the hardware used to run its experiments (e.g., specific GPU/CPU models, processor types, or memory details). |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers needed to replicate the experiment. |
| Experiment Setup | Yes | All methods use Gaussian kernel to calculate the similarity matrix where the scale parameter is set as the median of the pairwise Euclidean distances between the data points (Kumar, Rai, and Daume 2011). For the baselines, we set the parameters by the grids suggested in the original papers. In our weighting scheme, two parameters β and η need to be set. To balance every part, we initially set the parameters by Eq.(7). Then, β and η are set by the grid {0.02, 0.04, ..., 0.18, 0.2}. |