Multi-Task Multi-View Clustering for Non-Negative Data
Authors: Xianchao Zhang, Xiaotong Zhang, Han Liu
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results show the superiority of the proposed algorithm over either multi-task clustering algorithms or multi-view clustering algorithms for multi-task clustering of multi-view data. |
| Researcher Affiliation | Academia | Xianchao Zhang and Xiaotong Zhang and Han Liu School of Software Dalian University of Technology Dalian 116620, China xczhang@dlut.edu.cn, zxt.dut@hotmail.com, liu.han.dut@gmail.com |
| Pseudocode | Yes | Algorithm 1 MTMVC |
| Open Source Code | No | The paper does not provide a link to its own source code or state that it is open source. |
| Open Datasets | Yes | Web KB1: http://www.cs.cmu.edu/afs/cs.cmu.edu/project/theo20/www/data/; 20News Groups2: http://qwone.com/~jason/20Newsgroups/ |
| Dataset Splits | No | The paper describes the datasets and tasks, but does not specify train/validation/test splits, percentages, or absolute sample counts for data partitioning. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware used for experiments (e.g., GPU/CPU models, memory). |
| Software Dependencies | No | The paper mentions 'Rainbow' for data preprocessing, but does not provide a version number for this or any other software dependency. |
| Experiment Setup | Yes | For MTMVC and MTMVC-CV, we set the parameter of step length γ = 1, and set λ, µ by searching the grid {0.1, 0.2, . . . , 1}. |