Missing data in multiple correspondence analysis under the available data principle of the NIPALS algorithm
Multiple correspondence analysis (MCA) in the presence of missing data is usually performed by removing the records that have missing or not available (NA) data; sometimes, an entire row or column of a data matrix is removed, which is not ideal because relevant information on an individual or variab...
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| Publicado no: | Dyna |
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| Principais autores: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Universidad Nacional de Colombia
2019
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| Assuntos: | |
| Acesso em linha: | https://www.redalyc.org/articulo.oa?id=49663345029 https://www.redalyc.org/journal/496/49663345029/ https://www.redalyc.org/journal/496/49663345029/html/ https://www.redalyc.org/journal/496/49663345029/49663345029.epub https://www.redalyc.org/journal/496/49663345029/movil |
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