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.
Indeed, in case the dissimilarity measure comes from a norm, the ranking of methods will not depend on the chosen norm
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SI 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.