Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values-Reference-Cited by-同舟云学术

Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values

Published:1994-06 Issue:2 Volume:5 Page:111-126
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Paatero Pentti,Tapper Unto

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Reference12 articles.

1. Matrix factorization methods for analysing diffusion battery data

2. Analysis of different modes of factor analysis as least squares fit problems

3. ‘Robust modelling of data errors in non-negative factor analysis of bulk wet deposition’, Water and Environment Research Institute publications, Helsinki, Finland, 1994.

4. ‘Multivariate receptor models’, in (ed), Receptor Modeling for Air Quality Management. Elsevier Science Publishers, Amsterdam, 1991.

5. A receptor model using a specific non-negative transformation technique for ambient aerosol

Cited by 4313 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced VOC emission with increased temperature contributes to the shift of O3-precursors relationship and optimal control strategy;Journal of Environmental Sciences;2025-04

2. Efficient method for symmetric nonnegative matrix factorization with an approximate augmented Lagrangian scheme;Journal of Computational and Applied Mathematics;2025-01

3. Sources and health risks of heavy metals in kindergarten dust: The role of particle size;Environmental Research;2024-12

4. Source apportionment of PM2.5 episodes in the Taichung metropolitan area, Taiwan;Atmospheric Research;2024-12

5. Source apportionment of particle-bound polycyclic aromatic hydrocarbons (PAHs), oxygenated PAHs (OPAHs), and their associated long-term health risks in a major European city;Science of The Total Environment;2024-11