Geladi, Paul
- Department of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences
Other publication2014
Mythbusters in chemometrics: Understanding principal component analysis (PCA) is the responsibility of the data analyst - PCA is not an automatic shotgun solution for all data matrices
Esbensen, Kim H.; Geladi, Paul; Larsen, Anders
Keywords
principal component analysis (PCA) data analyst
Published in
NIR news
2014, Volume: 25, number: 1, pages: 23-26
SLU Authors
UKÄ Subject classification
Other Materials Engineering
Other Computer and Information Science
Publication identifier
DOI: https://doi.org/10.1255/nirn.1420
Permanent link to this page (URI)
https://res.slu.se/id/publ/53241