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Fractional Norms and Quasinorms Do Not Help to Overcome the Curse of Dimensionality
The curse of dimensionality causes the well-known and widely discussed problems for machine learning methods. There is a hypothesis that using the Manhattan distance and even fractional [Formula: see text] quasinorms (for p less than 1) can help to overcome the curse of dimensionality in classificat...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597215/ https://www.ncbi.nlm.nih.gov/pubmed/33286874 http://dx.doi.org/10.3390/e22101105 |