LSD-C: linearly separable deep clusters

LSD-C: linearly separable deep clusters

We present LSD-C, a novel method to identify clusters in an unlabeled dataset. Our algorithm first establishes pairwise connections in the feature space between the samples of the minibatch based on a similarity metric. Then it regroups in clusters the connected samples and enforces a linear separat...

书目详细资料
Main Authors:	Rebuffi, SA, Ehrhardt, S, Han, K, Vedaldi, A, Zisserman, A
格式:	Conference item
语言:	English
出版:	IEEE 2021

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