Asymptotic expansions of the probabilities of misclassification for k-NN discriminant rules
From MaRDI portal
Publication:916276
DOI10.1016/0167-7152(90)90053-AzbMATH Open0703.62070OpenAlexW2041729599MaRDI QIDQ916276
Publication date: 1990
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-7152(90)90053-a
rate of convergenceasymptotic expansionscompact supportprobabilities of misclassificationnearest neighbor estimatesnearest neighbor discriminant rule
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Central limit and other weak theorems (60F05)
Cites Work
Related Items (2)
Asymptotic estimate of probability of misclassification for discriminant rules based on density estimates โฎ Speculate-correct error bounds for \(k\)-nearest neighbor classifiers
Recommendations
- Unnamed Item ๐ ๐
- Unnamed Item ๐ ๐
- On Kolmogorov asymptotics of estimators of the misclassification error rate in linear discriminant analysis ๐ ๐
- Asymptotic properties of the misclassification rates for Euclidean distance discriminant rule in high-dimensional data ๐ ๐
- Asymptotic estimate of probability of misclassification for discriminant rules based on density estimates ๐ ๐
- Asymptotic cut-off point in linear discriminant rule to adjust the misclassification probability for large dimensions ๐ ๐
- Asymptotic probabilities of misclassification of two discriminant functions in cases of high dimensional data ๐ ๐
- Asymptotic approximation of misclassification probabilities in linear discriminant analysis with repeated measurements ๐ ๐
This page was built for publication: Asymptotic expansions of the probabilities of misclassification for k-NN discriminant rules