3 papers
cs.LG2026
Beyond Feature Importance: A Comparative Analysis of Pattern Detection Methods in Cluster Interpretation
Benjamin Connor, Anna Jurek-Loughrey, Lu Bai +1
Interpreting clustering outcomes remains a fundamental challenge in data analysis, particularly in domains such as healthcare where meaningful patterns must be extracted from high-…
cs.CG2024
ClusterGraph: a new tool for visualization and compression of multidimensional data
Paweł Dłotko, Davide Gurnari, Mathis Hallier +1
Understanding the global organization of complicated and high dimensional data is of primary interest for many branches of applied sciences. It is typically achieved by applying di…
math.NA2020
Hotspot identification for Mapper graphs
Ciara Frances Loughrey, Nick Orr, Anna Jurek-Loughrey +1
Mapper algorithm can be used to build graph-based representations of high-dimensional data capturing structurally interesting features such as loops, flares or clusters. The graph…