Unbiased Multivariate Correlation Analysis
Authors: Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia
AAAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments In this section, we empirically assess UMC. Firstly, we study UMC s performance on synthetic data. Secondly, we incorporate UMC into a state-of-the-art subspace beam search algorithm (Keller, Muller, and Bohm 2012) to mine correlated subspaces for subspace clustering and outlier detection on real data. |
| Researcher Affiliation | Academia | Dept. of Computer Science and Technology, Tsinghua University, China Dept. of Computing and Information Systems, University of Melbourne, Australia |
| Pseudocode | No | The paper does not include any clearly labeled pseudocode or algorithm blocks. |
| Open Source Code | No | The paper mentions a link to 'Supplementary Material' for proofs ('https://sites.google.com/site/umcsupplementary/home') but does not explicitly state that the source code for the methodology is available at this or any other location. |
| Open Datasets | Yes | We test 11 real UCI data sets2 widely used for benchmarking in the clustering community and previous work on correlation measures, using their class labels as ground truth. 2http://archive.ics.uci.edu/ml/index.html |
| Dataset Splits | No | The paper mentions using synthetic data of a certain size and real-world datasets, but it does not provide specific training, validation, or test split percentages or counts needed for reproduction. |
| Hardware Specification | Yes | We examine the scalability of the measures with regards to dimensionality and data size on a PC platform with Intel Core i7-3770 CPU and 32GB RAM. |
| Software Dependencies | No | The paper describes the computational aspects and methods used but does not provide specific software dependencies with version numbers (e.g., library names with versions). |
| Experiment Setup | Yes | For UMC, we set ϵ = 0.3. |