Contrastive multiple correspondence analysis (cMCA): Using contrastive learning to identify latent subgroups in political parties.

Abstract excerpt

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 an emerging analysis approach called contrastive learning. We contribute to this growing field by extending its...

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