The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
39 Dimensionality and sample size considerations in pattern recognition practice
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Citations
Cites
Nearest neighbor pattern classification
Cover, T., & Hart, P. (1967) · IEEE Transactions on Information Theory · doi:10.1109/tit.1967.1053964 · Cited by 16,936
AITCHISON, J. (1975) · Biometrika · doi:10.1093/biomet/62.3.547 · Cited by 256
Cited by
A review of classification algorithms for EEG-based brain–computer interfaces
Lotte, F., Congedo, M., Lécuyer, A., Lamarche, F., & Arnaldi, B. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/2/r01 · Cited by 2,665
Machine learning algorithm validation with a limited sample size
Vabalas, A., Gowen, E., Poliakoff, E., & Casson, A. J. (2019) · PLOS ONE · doi:10.1371/journal.pone.0224365 · Cited by 1,901
Small sample size effects in statistical pattern recognition: Recommendations for practitioners
Raudys, S. J., & Jain, A. K. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.75512 · Cited by 1,384
Self-citationAutomatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Murthy, S. K. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009744630224 · Cited by 991
Bankruptcy prediction using neural networks
Wilson, R. L., & Sharda, R. (1994) · Decision Support Systems · doi:10.1016/0167-9236(94)90024-8 · Cited by 722
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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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: 39 Dimensionality and sample size considerations in pattern recognition practice. https://app.cochat.ai/papers/10.1016/s0169-7161(82)02042-2
- The paper
- Jain, A. K., & Chandrasekaran, B. (1982). 39 Dimensionality and sample size considerations in pattern recognition practice. Handbook of Statistics. https://doi.org/10.1016/s0169-7161(82)02042-2
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.
