Depth-based classification for distributions with nonconvex support
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Publication:2260568
DOI10.1155/2013/629184zbMath1307.62164OpenAlexW2057994846WikidataQ59021429 ScholiaQ59021429MaRDI QIDQ2260568
Daniel Hlubinka, Ondřej Vencálek
Publication date: 11 March 2015
Published in: Journal of Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2013/629184
Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
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Cites Work
- On a notion of data depth based on random simplices
- Zonoid trimming for multivariate distributions
- General notions of statistical depth function.
- Clustering and classification based on the L\(_{1}\) data depth
- The multivariate L 1 -median and associated data depth
- On a transformation and re-transformation technique for constructing an affine equivariant multivariate median
- On Maximum Depth and Related Classifiers
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