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.
estimation of the underlying correlation structure with the method is twice as bad as if we knew the true membership of each observation
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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.