Principal component-discriminant analysis

{
  "id": "MLC-T-CHM-009468",
  "term": "Principal component-discriminant analysis",
  "field": "Chemistry",
  "definition": "A chemometric technique that combines principal component analysis with discriminant analysis to classify samples. First, principal component analysis reduces the dimensionality of the data while retaining most of the variance. Then, discriminant analysis is applied to the principal components to find linear combinations that best separate predefined groups of samples.",
  "subject": "Analytical Chemistry",
  "see_also": [
    "multivariate data",
    "principal-component analysis"
  ],
  "references": [
    "PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 423 (https://doi.org/10.1515/pac-2015-0605)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/principal-component-discriminant-analysis/"
}