MLchartDataset catalogue

Principle components analysis

Term · Environment · MLC-T-ENV-022157

A widely used multivariate statistical technique which can be used to reduce the number variables analyzed. PCA orthogonally transforms the original variables into a new set of uncorrelated variables based on the covariance (or correlation) matrix.

Table 1. Record
IdentifierMLC-T-ENV-022157
FieldEnvironment
SubjectResearch
AbbreviationPCA
ReferencesEPA Guidelines to Assessing Regional Vulnerabilities at http://www.epa.gov/reva/docs/guidelines_reva_20080627.pdf
Record as JSON
{
  "id": "MLC-T-ENV-022157",
  "term": "Principle components analysis",
  "field": "Environment",
  "term_source": "Principle Components Analysis",
  "definition": "A widely used multivariate statistical technique which can be used to reduce the number variables analyzed. PCA orthogonally transforms the original variables into a new set of uncorrelated variables based on the covariance (or correlation) matrix.",
  "abbreviation": "PCA",
  "subject": "Research",
  "references": [
    "EPA Guidelines to Assessing Regional Vulnerabilities at http://www.epa.gov/reva/docs/guidelines_reva_20080627.pdf"
  ],
  "url": "https://mlchart.com/terminology/environment/principle-components-analysis/"
}

Record 21,561 of 29,894 in Environment terminology (MLC-0121). Request the full dataset.