k-means clustering

{
  "id": "MLC-T-CHM-006367",
  "term": "k-means clustering",
  "field": "Chemistry",
  "definition": "An unsupervised classification algorithm that partitions a dataset into k distinct clusters, where k is a predefined number. The algorithm iteratively assigns each data point to the cluster whose centroid is closest, and then recalculates the centroids based on the new cluster assignments. The process continues until the cluster assignments no longer change or a maximum number of iterations is reached.",
  "subject": "Analytical Chemistry",
  "see_also": [
    "unsupervised 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-means-clustering/"
}