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Cited by 6,566

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Objective Criteria for the Evaluation of Clustering Methods

Open access
Rand, William M.·1971·Journal of the American Statistical Association

Abstract

Many intuitively appealing methods have been suggested for clustering data, however, interpretation of their results has been hindered by the lack of objective criteria. This article proposes several criteria which isolate specific aspects of the performance of a method, such as its retrieval of inherent structure, its sensitivity to resampling and the stability of its results in the light of new data. These criteria depend on a measure of similarity between two different clusterings of the same set of data; the measure essentially considers how each pair of data points is assigned in each clustering.

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Metadata

Authors
Rand, W. M.
Venue
Journal of the American Statistical Association
Published
1971-12
Volume
66
Issue
336
Pages
846-850
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
OpenAlex
W2033403400
Cited by
6,566
References
4
FWCI
3.70
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Objective Criteria for the Evaluation of Clustering Methods. https://app.cochat.ai/papers/10.1080/01621459.1971.10482356
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Rand, W. M. (1971). Objective Criteria for the Evaluation of Clustering Methods. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1971.10482356

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.