Chemometrics for Pattern Recognition

By Richard G. Brereton. 2009

420 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/09712f0ad7b3b90dd8edbb841fc1a2a15cf31fab

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

1. Gavin Rhys Lloyd
2. Keshav Kumar
3. Richard G. Brereton
4. Felipe Antonio Chegury Viana
5. Johan Trygg
6. Raphael T. Haftka
7. Mahmoud O. Elish
8. Karim O. Elish

In Spectroscopy

1. Gavin Rhys Lloyd
2. Keshav Kumar
3. Johan Trygg

Citations in the corpus

• Principal component analysis: Most favourite tool in chemometrics (2017, background): “[14] R Brereton, Chemometrics for Pattern Recognition, John Wiley & Sons, Ltd, U.”
• Partial least squares discriminant analysis: taking the magic away (2014, methodology): “In contrast, more simple statistical approaches such as LDA and EDC and quadratic discriminant analysis (QDA) [3,4] have well-known properties and involve well-established assumptions about the data; because fewer decisions have to be made about the parameters (as will be discussed later), they are…”