BCA is a new construal clustering method that outperforms prior CCMs in simulations, uses a novel data-generation process and evaluation metric, and yields different patterns on real datasets.
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Finding patterns of meaning: Reassessing Construal Clustering via Bipolar Class Analysis
BCA is a new construal clustering method that outperforms prior CCMs in simulations, uses a novel data-generation process and evaluation metric, and yields different patterns on real datasets.