Constrained NMF-Based Multi-View Clustering on Unmapped Data

Authors: Xianchao Zhang, Linlin Zong, Xinyue Liu, Hong Yu

AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental Experimental results show that, with a small number of constraints, the proposed algorithm gets good performance on unmapped data, and outperforms existing algorithms on partially mapped data and completely mapped data.
Researcher Affiliation Academia Xianchao Zhang, Linlin Zong, Xinyue Liu, Hong Yu School of Software Dalian University of Technology, Dalian 116620, China xczhang@dlut.edu.cn, zonglinlin324@gmail.com, xyliu@dlut.edu.cn, hongyu@dlut.edu.cn
Pseudocode Yes Algorithm 1: CMVNMF algorithm
Open Source Code No The paper does not provide any statement or link indicating the availability of open-source code for the described methodology.
Open Datasets Yes Datasets We use three benchmark datasets, UCI Handwritten Digit1, Reuters2 and Webkb3 to investigate the impact of inter-view constraints on CMVNMF. UCI Handwritten consists of handwritten digits (0-9). ... 1http://archive.ics.uci.edu/ml/datasets/Multiple+Features 2http://membres-liglab.imag.fr/grimal/data.html 3http://www.cs.cmu.edu/afs/cs.cmu.edu/project/theo20/www/data/
Dataset Splits No The paper describes datasets and how they were made unmapped (randomly selecting 95% samples and permuting), but it does not specify explicit training, validation, or test splits by percentage or sample count, nor does it mention cross-validation.
Hardware Specification No The paper does not provide any specific details about the hardware used to run the experiments.
Software Dependencies No The paper does not provide specific version numbers for any software dependencies used in the experiments.
Experiment Setup Yes We normalize the dataset in each view at first. ... We initialize the algorithm by the result of a basic clustering method, e.g. k-means, in each view. ... We set β = 1 in all experiments.