Description
Principal components analysis (PCA) creates a new set of orthogonal variables that contain the same information as the original set. It rotates the axes of variation to give a new set of orthogonal axes, ordered so that they summarize decreasing proportions of the variation.
Technical Details
| Framework | MITRE D3FEND |
| Ontology URI | d3f:PrincipalComponentAnalysis |
| Local Identifier | PrincipalComponentAnalysis |
| Publication Status | Exists in ontology only |