Cargando…
Decomposing biodiversity data using the Latent Dirichlet Allocation model, a probabilistic multivariate statistical method
We propose a novel multivariate method to analyse biodiversity data based on the Latent Dirichlet Allocation (LDA) model. LDA, a probabilistic model, reduces assemblages to sets of distinct component communities. It produces easily interpretable results, can represent abrupt and gradual changes in c...
Autores principales: | Valle, Denis, Baiser, Benjamin, Woodall, Christopher W, Chazdon, Robin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BlackWell Publishing Ltd
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4240467/ https://www.ncbi.nlm.nih.gov/pubmed/25328064 http://dx.doi.org/10.1111/ele.12380 |
Ejemplares similares
-
Latent Dirichlet Allocation modeling of environmental microbiomes
por: Kim, Anastasiia, et al.
Publicado: (2023) -
Latent Dirichlet Allocation in predicting clinical trial terminations
por: Geletta, Simon, et al.
Publicado: (2019) -
Context-Aware Latent Dirichlet Allocation for Topic Segmentation
por: Li, Wenbo, et al.
Publicado: (2020) -
Latent Dirichlet allocation model for world trade analysis
por: Kozlowski, Diego, et al.
Publicado: (2021) -
Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype
por: Rieger, Jonas, et al.
Publicado: (2020)