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Transductive Feature Selection Using Clustering-Based Sample Entropy for Temperature Prediction in Weather Forecasting
Entropy measures have been a major interest of researchers to measure the information content of a dynamical system. One of the well-known methodologies is sample entropy, which is a model-free approach and can be deployed to measure the information transfer in time series. Sample entropy is based o...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512779/ https://www.ncbi.nlm.nih.gov/pubmed/33265355 http://dx.doi.org/10.3390/e20040264 |