Hierarchical clustering

{
  "id": "MLC-T-CHM-005285",
  "term": "Hierarchical clustering",
  "field": "Chemistry",
  "definition": "A method of cluster analysis that builds a hierarchy of clusters, either by starting with individual data points and merging them into larger clusters (agglomerative) or by starting with one large cluster and dividing it into smaller ones (divisive). The results are often visualized as a dendrogram. This technique does not require specifying the number of clusters beforehand.",
  "subject": "Analytical Chemistry",
  "see_also": [
    "Euclidean distance",
    "Mahalanobis distance",
    "Ward’s minimum variance method",
    "city-block distance",
    "complete linkage",
    "single linkage"
  ],
  "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/hierarchical-clustering/"
}