Unsupervised learning of Swiss population spatial distribution.
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ABSTRACT:
SUBMITTER: Kanevski M
PROVIDER: S-EPMC7877650 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Publications
Unsupervised learning of Swiss population spatial distribution.
PloS one 20210211 2
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 estimation and on the application of clustering algorithms in order to reveal the patterns of spatial population distribution. The notion "unsupervised" also means, that only some general criteria-densit ...[more]
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