Optimal clustering on the real line
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Publication:1116592
DOI10.1016/0047-259X(88)90104-2zbMath0666.62059MaRDI QIDQ1116592
Publication date: 1988
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
consistencyquantizationquantile processcentral limit theoryM-estimatornumber of groupscontinuous populationasymptotic nonparametric confidence intervalbounded locally optimal groupingsDonsker-type theorempiecewise linear interpolation of order statisticssample quantile functionuniversally optimal groupingswithin-group error
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric tolerance and confidence regions (62G15)
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Cites Work
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- Optimal stratification and clustering on the line using the \(L_ 1\)- norm
- Optimal clustering on the real line
- Strong consistency of k-means clustering
- A central limit theorem for k-means clustering
- Asymptotic distributions for clustering criteria
- Unresolved Problems in Cluster Analysis
- Nonparametric Statistical Data Modeling
- Robust Estimation of a Location Parameter
- Some Limit Theorems for Large Deviations
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