Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Multi-Task Multi-View Clustering for Non-Negative Data
Authors: Xianchao Zhang, Xiaotong Zhang, Han Liu
IJCAI 2015 | Venue PDF | 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 EMAIL, EMAIL, EMAIL |
| 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 ฮณ = 1, and set ฮป, ยต by searching the grid {0.1, 0.2, . . . , 1}. |