Core consistency diagnostic

{
  "id": "MLC-T-CHM-002578",
  "term": "Core consistency diagnostic",
  "field": "Chemistry",
  "definition": "A statistical measure used in chemometrics, particularly with parallel factors analysis (PARAFAC), to assess the appropriateness of the chosen number of components for a multi-way data set. It quantifies how well the model's core array resembles an identity matrix, with values close to 100% indicating a good fit. A low value suggests that too many components have been extracted.",
  "subject": "Analytical Chemistry",
  "see_also": [
    "parallel factors analysis"
  ],
  "references": [
    "PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 418 (https://doi.org/10.1515/pac-2015-0605)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/core-consistency-diagnostic/"
}