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A comprehensive empirical comparison of hubness reduction in high-dimensional spaces
Hubness is an aspect of the curse of dimensionality related to the distance concentration effect. Hubs occur in high-dimensional data spaces as objects that are particularly often among the nearest neighbors of other objects. Conversely, other data objects become antihubs, which are rarely or never...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327987/ https://www.ncbi.nlm.nih.gov/pubmed/32647403 http://dx.doi.org/10.1007/s10115-018-1205-y |