MLchartDataset catalogue

k-nearest neighbour

Term · Chemistry · MLC-T-CHM-006368

A non-parametric classification or regression method used in chemometrics to predict the class or value of a new data point based on the majority class or average value of its 'k' closest neighbors in the feature space. The distance metric, such as Euclidean distance, determines the proximity between data points. This method is a form of instance-based learning.

Table 1. Record
IdentifierMLC-T-CHM-006368
FieldChemistry
SubjectAnalytical Chemistry
ReferencesPAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 429 (https://doi.org/10.1515/pac-2015-0605)
See alsoSupervised classification
Record as JSON
{
  "id": "MLC-T-CHM-006368",
  "term": "k-nearest neighbour",
  "field": "Chemistry",
  "definition": "A non-parametric classification or regression method used in chemometrics to predict the class or value of a new data point based on the majority class or average value of its 'k' closest neighbors in the feature space. The distance metric, such as Euclidean distance, determines the proximity between data points. This method is a form of instance-based learning.",
  "subject": "Analytical Chemistry",
  "see_also": [
    "supervised classification"
  ],
  "references": [
    "PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 429 (https://doi.org/10.1515/pac-2015-0605)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/k-nearest-neighbour/"
}

Record 6,758 of 13,676 in Chemistry terminology (MLC-0109). Request the full dataset.