1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Clustering High-dimensional Data: Balancing Abstraction and Representation Tutorial at AAAI 2026
Claudia Plant, Lena G. M. Bauer, Christian Böhm
How to find a natural grouping of a large real data set? Clustering requires a balance between abstraction and representation. To identify clusters, we need to abstract from superf…
cs.CV2025★ 1 cited
Bootstrap Deep Spectral Clustering with Optimal Transport
Wengang Guo, Wei Ye, Chunchun Chen +4
Spectral clustering is a leading clustering method. Two of its major shortcomings are the disjoint optimization process and the limited representation capacity. To address these is…
cs.LG2025★ 1 cited
An Introductory Survey to Autoencoder-based Deep Clustering -- Sandboxes for Combining Clustering with Deep Learning
Collin Leiber, Lukas Miklautz, Claudia Plant +1
Autoencoders offer a general way of learning low-dimensional, non-linear representations from data without labels. This is achieved without making any particular assumptions about…