The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
An overview of clustering methods
Abstract
Data clustering is the process of identifying natural groupings or clusters within multidimensional data based on some similarity measure. Clustering is a fundamental process in many different disciplines. Hence, researchers from different fields are
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Kennedy, J., & Eberhart, R. (2002) · Proceedings of ICNN'95 - International Conference on Neural Networks · doi:10.1109/icnn.1995.488968 · Cited by 58,192
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
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Neural networks for pattern recognition
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Genetic Algorithms in Search, Optimization and Machine Learning
Goldberg, D. E., & Robson, D. (1988) · Cited by 18,391
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Mean shift: a robust approach toward feature space analysis
Comaniciu, D., & Meer, P. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.1000236 · Cited by 11,305
Finding groups in data: an introduction to cluster analysis
(1991) · Choice Reviews Online · doi:10.5860/choice.28-4558 · Cited by 10,474
Goldberg, D. E. (1989) · Medical Entomology and Zoology · Cited by 10,109
Cited by
Comprehensive survey on hierarchical clustering algorithms and the recent developments
Ran, X., Xi, Y., Lu, Y., Wang, X., & Lu, Z. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-022-10366-3 · Cited by 361
Dalenberg, C. J., Glaser, D., & Alhassoon, O. M. (2012) · Depression and Anxiety · doi:10.1002/da.21926 · Cited by 50
Metadata
- Authors
- Omran, M. G. H., Engelbrecht, A. P., & Salman, A.
- Venue
- Intelligent Data Analysis
- Publisher
- SAGE Publications
- Published
- 2007-11-09
- Volume
- 11
- Issue
- 6
- Pages
- 583-605
- ISSN
- 1088-467X (ISSN-L)
- 1571-4128
- OpenAlex
- W1489991816
- Cited by
- 424
- References
- 70
- FWCI
- 9.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- Omran, M. G. H., Engelbrecht, A. P., & Salman, A. (2007). An overview of clustering methods. Intelligent Data Analysis. https://doi.org/10.3233/ida-2007-11602
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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.