Use of convexity for finding pure variables in two-way data from mixtures
By Bjørn-Vidar Grande, R. Manne. 2000
72 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Control and Systems Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4e739f7f9831df97ded2ae0d973b592ba1bfe4e1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
- M. Maeder
- Romà Tauler
- Róbert Rajkó
- Mehdi Jalali-Heravi
- C. Mason
- M. Vosough
- A. de Juan
- Joaquim Jaumot
In Control and Systems Engineering
In Statistics and Probability
- M. Maeder
- Róbert Rajkó
- Mehdi Jalali-Heravi
- C. Mason
- M. Vosough
- Romà Tauler
- Joaquim Jaumot
- A. de Juan
Citations in the corpus
- On rotational ambiguity in model‐free analyses of multivariate data (2006, methodology): “Other methods, such as SIMPLISMA [11] or other approaches to determine ’key variables’ [12] of the data set, typically estimates for the concentration profiles or component spectra.”
- Studies on the adaptability of different Borgen norms applied in self‐modeling curve resolution (SMCR) method (2009, background): “It should be mentioned that a simple proof of the simplex property was already given by Grande and Manne [19], however it was only for two-component systems and without any clear formulations for more components.”