Open AccessChemometrics reveals not-so-obvious analytical information
Author(s) -
Fernando Mendes Pereira
Publication year - 2022
Publication title -
brjac brazilian journal of analytical chemistry
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 6
eISSN - 2179-3433
pISSN - 2179-3425
DOI - 10.30744/brjac.2179-3425.letter-fabiolaverbi.n37
Subject(s) - chemometrics , principal component analysis , outlier , computer science , calibration , process (computing) , data mining , multivariate statistics , feature selection , artificial intelligence , machine learning , pattern recognition (psychology) , mathematics , statistics , operating system