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Resampling Method for Unsupervised Estimation of Cluster Validity
Open accessAbstract
We introduce a method for validation of results obtained by clustering analysis of data. The method is based on resampling the available data. A figure of merit that measures the stability of clustering solutions against resampling is introduced. Clusters that are stable against resampling give rise to local maxima of this figure of merit. This is presented first for a one-dimensional data set, for which an analytic approximation for the figure of merit is derived and compared with numerical measurements. Next, the applicability of the method is demonstrated for higher-dimensional data, including gene microarray expression data.
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Cited by
Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
Zeisel, A., Muñoz-Manchado, A. B., Codeluppi, S., Lönnerberg, P., La Manno, G., Juréus, A., Marques, S., Munguba, H., He, L., Betsholtz, C., et al. (2015) · Science · doi:10.1126/science.aaa1934 · Cited by 3,124
Monti, S., Tamayo, P., Mesirov, J., & Golub, T. (2003) · Machine Learning · doi:10.1023/a:1023949509487 · Cited by 2,116
Validating the independent components of neuroimaging time series via clustering and visualization
Himberg, J., Hyvärinen, A., & Esposito, F. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.027 · Cited by 1,244
Cluster analysis for gene expression data: a survey
Jiang, D., Tang, C., & Zhang, A. (2004) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2004.68 · Cited by 1,235
Stability-Based Validation of Clustering Solutions
Lange, T., Roth, V., Braun, M. L., & Buhmann, J. M. (2004) · Neural Computation · doi:10.1162/089976604773717621 · Cited by 526
Metadata
- Authors
- Levine, E., & Domany, E.
- Venue
- Neural Computation
- Publisher
- MIT Press - Journals
- Published
- 2001-11-01
- Volume
- 13
- Issue
- 11
- Pages
- 2573-2593
- ISSN
- 0899-7667 (ISSN-L)
- 1530-888X
- OpenAlex
- W2146261447
- Cited by
- 271
- References
- 0
- FWCI
- 9.39
- Type
- journal article
- Language
- en
- Open access
- green
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