Principal component score

Term · Chemistry · MLC-T-CHM-009467

A value representing the position of an observation along a principal component axis in multivariate data analysis. These scores are linear combinations of the original variables, weighted by the eigenvectors of the covariance or correlation matrix. They are used to reduce dimensionality and visualize patterns in complex datasets, with the first principal component accounting for the most variance.

Table 1. Record
Identifier	MLC-T-CHM-009467
Field	Chemistry
Subject	Chemistry and Human Health
References	PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 253 (https://doi.org/10.1515/pac-2012-1204)

Record as JSON

{
  "id": "MLC-T-CHM-009467",
  "term": "Principal component score",
  "field": "Chemistry",
  "definition": "A value representing the position of an observation along a principal component axis in multivariate data analysis. These scores are linear combinations of the original variables, weighted by the eigenvectors of the covariance or correlation matrix. They are used to reduce dimensionality and visualize patterns in complex datasets, with the first principal component accounting for the most variance.",
  "subject": "Chemistry and Human Health",
  "references": [
    "PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 253 (https://doi.org/10.1515/pac-2012-1204)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/principal-component-score/"
}

Record 10,053 of 13,676 in Chemistry terminology (MLC-0109). Request the full dataset.