The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Self-organizing Maps as Substitutes for K-Means Clustering
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Citations
Cites
Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Finding Groups in Data: An Introduction to Cluster Analysis
Kaufman, L., & Rousseeuw, P. J. (1990) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316801 · Cited by 7,344
An efficient k-means clustering algorithm: analysis and implementation
Kanungo, T., Mount, D. M., Netanyahu, N. S., Piatko, C. D., Silverman, R., & Wu, A. Y. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017616 · Cited by 5,660
Cited by
Gutkin, R., Green, C. J., Vangrattanachai, S., Pinho, S. T., Robinson, P., & Curtis, P. T. (2011) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2010.11.014 · Cited by 623
Abarca-Alvarez, F. J., Campos-Sanchez, F. S., & Reinoso-Bellido, R. (2018) · International Journal of Sustainable Development and Planning · doi:10.2495/sdp-v13-n7-941-953 · Cited by 12
Metadata
- Authors
- Bação, F., Lobo, V., & Painho, M.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2005
- Pages
- 476-483
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2160873061
- Cited by
- 266
- References
- 3
- FWCI
- 4.77
- Type
- conference paper
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- The paper
- Bação, F., Lobo, V., & Painho, M. (2005). Self-organizing Maps as Substitutes for K-Means Clustering. Lecture Notes in Computer Science. https://doi.org/10.1007/11428862_65
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
