Reliable Multi-View Clustering
Authors: Hong Tao, Chenping Hou, Xinwang Liu, Tongliang Liu, Dongyun Yi, Jubo Zhu
AAAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results on a number of data sets demonstrate that the proposed method can effectively improve the reliability of multi-view clustering. |
| Researcher Affiliation | Academia | Hong Tao,1 Chenping Hou,1 Xinwang Liu,2 Dongyun Yi,1 Jubo Zhu1 1College of Science, National University of Defense Technology, Changsha, 410073, Hunan, China. 2School of Computer, National University of Defense Technology, Changsha, 410073, Hunan, China. |
| Pseudocode | Yes | Algorithm 1 summarizes the pseudocode of the proposed method. |
| Open Source Code | No | The paper does not provide a statement or link indicating that the source code for the proposed RMVC method is publicly available. |
| Open Datasets | Yes | The six text data sets are 3sources3 (3sou), BBC3/4views (BBC3/4) and BBCSport2/3/4views4 (BSpt2/3/4)., with footnotes like 3http://mlg.ucd.ie/datasets/3sources.html and 5http://www.vision.caltech.edu/Image Datasets/Caltech101/ providing access. |
| Dataset Splits | No | The paper does not provide specific details on training/validation/test dataset splits, such as percentages, sample counts, or explicit references to predefined splits used for validation. |
| Hardware Specification | Yes | The experiments are conducted on a work station with 12 cores (2.10 GHz for each) and 96.0 GB RAM memory. |
| Software Dependencies | Yes | All algorithms are tested with MATLAB R2013b, and our method also use MOSEK 7.1. |
| Experiment Setup | Yes | Two points are connected if at least one of them is among the k nearest neighbors of the other in the Euclidean distance and k is set to be 9 empirically. The edge weight is calculated using Gaussian Kernel, where the bandwidth parameter is set as the mean squared Euclidean distance between sample pairs. For Co Reg SC, Co Train SC and MMSC, their trade-off parameters are selected from {0.01, 0.1, 1, 10, 100}, and the best results are reported. |