The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Neighborhood classifiers
Overview
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Citations
Cites
(1992) · Cited by 23,431
Nearest neighbor pattern classification
Cover, T., & Hart, P. (1967) · IEEE Transactions on Information Theory · doi:10.1109/tit.1967.1053964 · Cited by 16,936
(1973) · CERN Document Server (European Organization for Nuclear Research) · Cited by 12,895
Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
Fix, E., & Hodges, J. L. (1989) · International Statistical Review / Revue Internationale de Statistique · doi:10.2307/1403797 · Cited by 2,516
The condensed nearest neighbor rule (Corresp.)
Hart, P. (1968) · IEEE Transactions on Information Theory · doi:10.1109/tit.1968.1054155 · Cited by 1,733
Improved Heterogeneous Distance Functions
Wilson, D. R., & Martinez, T. R. (1997) · Journal of Artificial Intelligence Research · doi:10.1613/jair.346 · Cited by 1,344
Reduction Techniques for Instance-Based Learning Algorithms
Wilson, D. R., & Martinez, T. R. (2000) · Machine Learning · doi:10.1023/a:1007626913721 · Cited by 1,182
Relational interpretations of neighborhood operators and rough set approximation operators
Yao, Y. Y. (1998) · Information Sciences · doi:10.1016/s0020-0255(98)10006-3 · Cited by 1,050
Rough set methods in feature selection and recognition
Świniarski, R. W., & Skowron, A. (2002) · Pattern Recognition Letters · doi:10.1016/s0167-8655(02)00196-4 · Cited by 816
A Branch and Bound Algorithm for Computing k-Nearest Neighbors
Fukunaga, K., & Narendra, P. M. (1975) · IEEE Transactions on Computers · doi:10.1109/t-c.1975.224297 · Cited by 736
Cited by
Neighborhood rough set based heterogeneous feature subset selection
Hu, Q., Yu, D., Liu, J., & Wu, C. (2008) · Information Sciences · doi:10.1016/j.ins.2008.05.024 · Cited by 1,085
Self-citationA multidimensional hybrid intelligent method for gear fault diagnosis
Lei, Y., Zuo, M. J., He, Z., & Zi, Y. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.06.060 · Cited by 240
Measures of uncertainty for neighborhood rough sets
Chen, Y., Xue, Y., Ma, Y., & Xu, F. (2017) · Knowledge-Based Systems · doi:10.1016/j.knosys.2017.01.008 · Cited by 87
Metadata
- Authors
- HU, Q., YU, D., & XIE, Z.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2008-02
- Volume
- 34
- Issue
- 2
- Pages
- 866-876
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2912707296
- Cited by
- 513
- References
- 24
- FWCI
- 11.62
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
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- CoChat. (2026). Citation check: Neighborhood classifiers. https://app.cochat.ai/papers/10.1016/j.eswa.2006.10.043
- The paper
- HU, Q., YU, D., & XIE, Z. (2008). Neighborhood classifiers. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2006.10.043
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.
