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A new model for learning-based forecasting procedure by combining k-means clustering and time series forecasting algorithms
This paper aims to propose a new model for time series forecasting that combines forecasting with clustering algorithm. It introduces a new scheme to improve the forecasting results by grouping the time series data using k-means clustering algorithm. It utilizes the clustering result to get the fore...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189023/ https://www.ncbi.nlm.nih.gov/pubmed/34150996 http://dx.doi.org/10.7717/peerj-cs.534 |