8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2024
SHADE: Deep Density-based Clustering
Anna Beer, Pascal Weber, Lukas Miklautz +4
Detecting arbitrarily shaped clusters in high-dimensional noisy data is challenging for current clustering methods. We introduce SHADE (Structure-preserving High-dimensional Analys…
cs.LG2022★ 8 cited
Deep Clustering With Consensus Representations
Lukas Miklautz, Martin Teuffenbach, Pascal Weber +4
The field of deep clustering combines deep learning and clustering to learn representations that improve both the learned representation and the performance of the considered clust…