Nonnegative matrix factorization has been offered as a fast and effective method for analyzing nonnegative two-mode proximity data. The goal is to structurally represent a nonnegative proximity matrix as the product of two lower-dimensional nonnegative matrices. Goodness of fit is typically measured
Analysis of daily precipitation data by positive matrix factorization
โ Scribed by Sirkka Juntto; Pentti Paatero
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 894 KB
- Volume
- 5
- Category
- Article
- ISSN
- 1180-4009
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## Abstract This paper reports the error analysis results for the gridded daily precipitation data over the state of Texas of the United States from January 1, 1901 to December 31, 2000. The Global Daily Climatology Network dataset is used for both the data gridding and error analysis. The station
factor analyses were performed on databases consisting of simulated samples from aqueous equilbria. The program COMPLEX was used to generate equilibrium species in a system of three reactant metals and five reactant bases. Reactant concentrations and pH were drawn from random-normal distributions so