Linear discriminant analysis

{
  "id": "MLC-T-CHM-006617",
  "term": "Linear discriminant analysis",
  "field": "Chemistry",
  "definition": "A supervised classification method that projects high-dimensional data onto a lower-dimensional space to maximize the separability between predefined classes. The projection is achieved by identifying a new axis, the linear discriminant, that maximizes the ratio of between-class variance to within-class variance. Unlike principal component analysis (PCA), which is an unsupervised method focused on explaining variance, linear discriminant analysis explicitly uses class label information to achieve separation.",
  "subject": "Analytical Chemistry",
  "references": [
    "PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 430 (https://doi.org/10.1515/pac-2015-0605)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/linear-discriminant-analysis/"
}