Non-parametric detection of meaningless distances in high dimensional data
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Publication:746216
DOI10.1007/s11222-011-9229-0zbMath1322.62145OpenAlexW2160406974WikidataQ56140630 ScholiaQ56140630MaRDI QIDQ746216
Publication date: 16 October 2015
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11222-011-9229-0
curse of dimensionalityhigh dimensional datastatistical testnearest neighbourdistance concentrationChebyshev bound
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Cites Work
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- On the distance concentration awareness of certain data reduction techniques
- Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine
- New instability results for high-dimensional nearest neighbor search
- When is `nearest neighbour' meaningful: A converse theorem and implications