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 accessAbstract
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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Cites
Modularity and community structure in networks
Newman, M. E. J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601602103 · Cited by 12,256
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Limits of Predictability in Human Mobility
Song, C., Qu, Z., Blumm, N., & Barabási, A.-L. (2010) · Science · doi:10.1126/science.1177170 · Cited by 3,234
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Roth, C., Kang, S. M., Batty, M., & Barthélemy, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0015923 · Cited by 461
Cited by
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Reversed graph embedding resolves complex single-cell trajectories
Qiu, X., Mao, Q., Tang, Y., Wang, L., Chawla, R., Pliner, H. A., & Trapnell, C. (2017) · Nature Methods · doi:10.1038/nmeth.4402 · Cited by 5,070
Metadata
- Authors
- Rand, W. M.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- 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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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.