Stop using the elbow criterion for k-means and how to choose the number of clusters instead

Schubert, E. (2023). Stop using the elbow criterion for k-means and how to choose the number of clusters instead. ACM.

Type

Journal article

Intellectual base

Primary research

Year

2023

DOI

10.1145/3606274.3606278

DOI registrant

Association for Computing Machinery

Link

https://doi.org/10.1145/3606274.3606278

Cited by

1 citation across 1 artifact.

Domain-specific

• Determining the number of clusters in a data set
  • Conceptual unsupervised-model-selection identity only; high-stakes segmentation requires bias, stability, privacy, external validity, and downstream-impact review.

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