Multi-View Clustering by Inter-cluster Connectivity Guided Reward
Authors: Hao Dai, Yang Liu, Peng Su, Hecheng Cai, Shudong Huang, Jiancheng Lv
ICML 2024 | Conference PDF | Archive PDF | Plain Text | 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 <huangsd@scu.edu.cn>. |
| 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 . |