Choosing ℓ p norms in high-dimensional spaces based on hub analysis
The hubness phenomenon is a recently discovered aspect of the curse of dimensionality. Hub objects have a small distance to an exceptionally large number of data points while anti-hubs lie far from all other data points. A closely related problem is the concentration of distances in high-dimensional...
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| Veröffentlicht in: | Neurocomputing (Amsterdam) 2015-12, Vol.169, p.281-287 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
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