The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Generalized relevance learning vector quantization
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Citations
Cites
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
Kohonen, T. (2001) · Springer Series in Information Sciences · doi:10.1007/978-3-642-56927-2 · Cited by 16,019
UCI Repository of machine learning databases
Blake, C. L. (1998) · Medical Entomology and Zoology · Cited by 10,582
Measuring the strangeness of strange attractors
Grassberger, P., & Procaccia, I. (1983) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(83)90298-1 · Cited by 5,650
Bayesian Learning for Neural Networks
Neal, R. M. (1996) · Lecture Notes in Statistics · doi:10.1007/978-1-4612-0745-0 · Cited by 4,276
The Handbook of brain theory and neural networks
(1996) · Choice Reviews Online · doi:10.5860/choice.33-4484 · Cited by 3,870
A Fast Fixed-Point Algorithm for Independent Component Analysis
Hyvärinen, A., & Oja, E. (1997) · Neural Computation · doi:10.1162/neco.1997.9.7.1483 · Cited by 3,391
Introduction to remote sensing
Campbell, J. B. (1987) · Geocarto International · doi:10.1080/10106048709354126 · Cited by 2,292
Fuzzy clustering with a fuzzy covariance matrix
Gustafson, D., & Kessel, W. (1978) · 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes · doi:10.1109/cdc.1978.268028 · Cited by 1,978
Unsupervised optimal fuzzy clustering
Gath, I., & Geva, A. B. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.192473 · Cited by 1,640
Cited by
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
García, S., Luengo, J., & Herrera, F. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.12.006 · Cited by 310
Metadata
- Authors
- Hammer, B., & Villmann, T.
- Venue
- Neural Networks
- Publisher
- Elsevier BV
- Published
- 2002-10
- Volume
- 15
- Issue
- 8-9
- Pages
- 1059-1068
- ISSN
- 0893-6080 (ISSN-L)
- OpenAlex
- W2094150678
- Cited by
- 414
- References
- 28
- FWCI
- 12.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Generalized relevance learning vector quantization. https://app.cochat.ai/papers/10.1016/s0893-6080(02)00079-5
- The paper
- Hammer, B., & Villmann, T. (2002). Generalized relevance learning vector quantization. Neural Networks. https://doi.org/10.1016/s0893-6080(02)00079-5
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.
