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-View Clustering by Inter-cluster Connectivity Guided Reward
Authors: Hao Dai, Yang Liu, Peng Su, Hecheng Cai, Shudong Huang, Jiancheng Lv
ICML 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results on multiple benchmark datasets demonstrate the effectiveness of our proposed approach in comparison to existing state-of-the-art methods. ... Four multi-view datasets are adpoted in our experiment: MSRC-v1, Handwritten-numerals, bbc-seg14of4, and ORL ... Three criteria of clustering performance (Normalized Mutual Information (NMI), Purity, and Adjusted Rand Index (ARI)) are shown in Table 1. |
| Researcher Affiliation | Academia | 1College of Computer Science, Sichuan University, Chengdu 610065, China 2Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education, Chengdu 610065, China. Correspondence to: Shudong Huang <EMAIL>. |
| Pseudocode | No | The paper does not contain any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper does not provide an explicit statement about releasing its code or a link to a source code repository. |
| Open Datasets | Yes | Four multi-view datasets are adpoted in our experiment: MSRC-v1, Handwritten-numerals, bbc-seg14of4, and ORL: ... MSRC-v1 1 from Microsoft Research in Cambridge ... Handwritten-numerals is an image dataset of handwritten digits ... bbc-seg14of4 2 is a subset of BBC dataset ... ORL (The Olivetti Research Laboratory) 3 face dataset ... 1https://www.microsoft.com/en-us/research/project/image-understanding/ 2http://mlg.ucd.ie/datasets/bbc.html 3https://www.kaggle.com/datasets/tavarez/the-orl-database-for-training-and-testing |
| Dataset Splits | No | The paper does not provide specific details on training, validation, or test dataset splits, percentages, or methodology for partitioning the data. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used to run the experiments (e.g., CPU/GPU models, memory). |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers. |
| Experiment Setup | Yes | To study the influence of different parameter settings on the clustering results, we vary α, β, and γ in the ranges [5, 10], [0, 16], and 5e-7, 5e-3 . |