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.
| Identifier | MLC-T-ENV-022157 |
|---|---|
| Field | Environment |
| Subject | Research |
| Abbreviation | PCA |
| References | EPA 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.