k-means cluster analysis

{
  "id": "MLC-T-OAG-002105",
  "term": "k-means cluster analysis",
  "field": "Oil and gas",
  "definition": "An unsupervised machine learning algorithm used to partition a dataset into a specified number of clusters, where each data point belongs to the cluster with the nearest mean. In reservoir characterization, it groups similar well log responses or core measurements to identify distinct rock types or facies. The number of clusters, 'k', is typically determined by the user.",
  "subject": "Reservoir Characterization",
  "url": "https://mlchart.com/terminology/oil-and-gas/k-means-cluster-analysis/"
}