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Correspondence analysis, spectral clustering and graph embedding: applications to ecology and economic complexity
Identifying structure underlying high-dimensional data is a common challenge across scientific disciplines. We revisit correspondence analysis (CA), a classical method revealing such structures, from a network perspective. We present the poorly-known equivalence of CA to spectral clustering and grap...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076183/ https://www.ncbi.nlm.nih.gov/pubmed/33903623 http://dx.doi.org/10.1038/s41598-021-87971-9 |