Unsupervised learning of Swiss population spatial distribution

The paper deals with the analysis of spatial distribution of Swiss population using fractal concepts and unsupervised learning algorithms. The research methodology is based on the development of a high dimensional feature space by calculating local growth curves, widely used in fractal dimension est...

Descripción completa

Detalles Bibliográficos
Autor principal: Kanevski, Mikhail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877650/
https://www.ncbi.nlm.nih.gov/pubmed/33571272
http://dx.doi.org/10.1371/journal.pone.0246529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877650/
https://www.ncbi.nlm.nih.gov/pubmed/33571272
http://dx.doi.org/10.1371/journal.pone.0246529

Ejemplares similares