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Simultaneous clustering and variable selection: A novel algorithm and model selection procedure
The growing availability of high-dimensional data sets offers behavioral scientists an unprecedented opportunity to integrate the information hidden in the novel types of data (e.g., genetic data, social media data, and GPS tracks, etc.,) and thereby obtain a more detailed and comprehensive view tow...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439051/ https://www.ncbi.nlm.nih.gov/pubmed/36085542 http://dx.doi.org/10.3758/s13428-022-01795-7 |