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Contrastive multiple correspondence analysis (cMCA): Using contrastive learning to identify latent subgroups in political parties
Scaling methods have long been utilized to simplify and cluster high-dimensional data. However, the general latent spaces across all predefined groups derived from these methods sometimes do not fall into researchers’ interest regarding specific patterns within groups. To tackle this issue, we adopt...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332614/ https://www.ncbi.nlm.nih.gov/pubmed/37428735 http://dx.doi.org/10.1371/journal.pone.0287180 |