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cs.LG2026
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
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…
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…