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...
| Hlavní autoři: | , , , , |
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| Médium: | Conference item |
| Jazyk: | English |
| Vydáno: |
IEEE
2021
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