Principal components analysis

{
  "id": "MLC-T-MET-008151",
  "term": "Principal components analysis",
  "field": "Meteorology and atmospheric science",
  "definition": "A statistical technique used to reduce the dimensionality of large datasets by transforming a set of correlated variables into a smaller set of uncorrelated variables called principal components. This method identifies the dominant patterns of variability within meteorological fields, such as sea-level pressure or temperature. The first principal component accounts for the largest possible variance in the original data.",
  "see_also": [
    "regression"
  ],
  "url": "https://mlchart.com/terminology/meteorology/principal-components-analysis/"
}