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cs.LG2025
Persistent Multiscale Density-based Clustering
Daniël Bot, Leland McInnes, Jan Aerts
Clustering is a cornerstone of modern data analysis. Detecting clusters in exploratory data analyses (EDA) requires algorithms that make few assumptions about the data. Density-bas…
cs.LG2024
Lens functions for exploring UMAP Projections with Domain Knowledge
Daniel M. Bot, Jan Aerts
Dimensionality reduction algorithms are often used to visualise high-dimensional data. Previously, studies have used prior information to enhance or suppress expected patterns in p…
cs.LG2023
FLASC: A Flare-Sensitive Clustering Algorithm
D. M. Bot, J. Peeters, J. Liesenborgs +1
Clustering algorithms are often used to find subpopulations in exploratory data analysis workflows. Not only the clusters themselves, but also their shape can represent meaningful…