CAESAR: Clustering via Autonomous Embedding-Space Agglomerative Reorganization
CAESAR is a method that reorganizes a pretrained embedding space: a reorganization network is trained to pull mutual nearest neighbors together and push non-neighbors apart, yielding a reorganized embedding space substantially better suited to clustering.
Ilan Bacry, Rémi Devaux, A. Jardin
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