Concept
Determining the number of clusters in a data set
Publications associées (144)
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Clustering in education, particularly in large-scale online environments like MOOCs, is essential for understanding and adapting to diverse student needs. However, the effectiveness of clustering depends on its interpretability, which becomes challenging w ...
2024Fairness and Explainability in Clustering Problems
In this thesis we present and analyze approximation algorithms for three different clustering problems. The formulations of these problems are motivated by fairness and explainability considerations, two issues that have recently received attention in the ...
EPFL2023Transfer learning application of self-supervised learning in ARPES
There is a growing recognition that electronic band structure is a local property of materials and devices, and there is steep growth in capabilities to collect the relevant data. New photon sources, from small-laboratory-based lasers to free electron lase ...
IOP Publishing Ltd2023Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Florent Gérard Krzakala, Lenka Zdeborová, Luca Pesce, Bruno Loureiro
A simple model to study subspace clustering is the high-dimensional k -Gaussian mixture model where the cluster means are sparse vectors. Here we provide an exact asymptotic characterization of the statistically optimal reconstruction error in this model i ...
2022