activity
20152026
most citedGenie: A new, fast, and outlier-resistant hierarchical clustering algorithm

85 citations · 254 across the 14 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

physics.soc-ph2023★ 3 cited

Gini-stable Lorenz curves and their relation to the generalised Pareto distribution

Lucio Bertoli-Barsotti, Marek Gagolewski, Grzegorz Siudem +1

We introduce an iterative discrete information production process where we can extend ordered normalised vectors by new elements based on a simple affine transformation, while pres…

physics.soc-ph2023

Equivalence of inequality indices in the three-dimensional model of informetric impact

Lucio Bertoli-Barsotti, Marek Gagolewski, Grzegorz Siudem +1

Inequality is an inherent part of our lives: we see it in the distribution of incomes, talents, citations, to name a few. However, its intensity varies across environments: there a…

cs.SI2023

Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering

Łukasz Brzozowski, Grzegorz Siudem, Marek Gagolewski

Community detection is a critical challenge in analysing real graphs, including social, transportation, citation, cybersecurity, and many other networks. This article proposes thre…

stat.ML2023★ 6 cited

Hierarchical clustering with OWA-based linkages, the Lance-Williams formula, and dendrogram inversions

Marek Gagolewski, Anna Cena, Simon James +1

Agglomerative hierarchical clustering based on Ordered Weighted Averaging (OWA) operators not only generalises the single, complete, and average linkages, but also includes intercl…

stat.ML2023★ 21 cited

Clustering with minimum spanning trees: How good can it be?

Marek Gagolewski, Anna Cena, Maciej Bartoszuk +1

Minimum spanning trees (MSTs) provide a convenient representation of datasets in numerous pattern recognition activities. Moreover, they are relatively fast to compute. In this pap…

cs.PL2023

Deep R Programming

Marek Gagolewski

Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for data science. It equips ambitious students, professionals, and resea…