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My research interests include machine learning, data aggregation and clustering, computational and applied statistics, and mathematical modelling (the science of science, sport, economics, social sciences, psychometrics, bibliometrics, etc.).

In my spare time, I write books for my students and develop open-source data analysis software.

Open-access textbooks

Software

Python packages

R packages

  • stringi – Fast and portable character string processing in R (one of the most often downloaded packages for R) (GitHub) (CRAN) (paper)
  • genieclust – Fast and robust hierarchical clustering with noise point detection (GitHub) (CRAN) (paper)
  • stringx – Drop-in replacements for base R string functions powered by stringi (GitHub) (CRAN)
  • realtest – Where expectations meet reality: Realistic unit testing in R (GitHub) (CRAN)
  • TurtleGraphics – Learn computer programming in R while having a jolly time! (GitHub) (CRAN)

Data

Marek Gagolewski's Projects

agop icon agop

Aggregation Operators Package for R

aipp icon aipp

Algorytmy i podstawy programowania w języku C++ (in Polish)

bfpm_critique icon bfpm_critique

A Critique of the Bounded Fuzzy Possibilistic Method - Supplementary Files

bookdown_marek_mods icon bookdown_marek_mods

[DEPRECATED] some mods to the R package bookdown - used in my books' custom build chains

citan icon citan

[DEPRECATED] CITation ANalysis toolpack

clustering-data-v1 icon clustering-data-v1

A framework for benchmarking clustering algorithms – Benchmark suite, version 1

clustering-results-v1 icon clustering-results-v1

A framework for benchmarking clustering algorithms – Benchmark results (for version 1 of the Suite)

datafusion icon datafusion

Data Fusion (open-access research monograph, 2015)

deepr icon deepr

Deep R Programming (Open-Access Textbook)

genie icon genie

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

genieclust icon genieclust

Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R

icudt icon icudt

[DEPRECATED] ICU data files packaged for use in R

lmlcr icon lmlcr

Lightweight Machine Learning Classics with R (Book Draft)

optim_cvi icon optim_cvi

Are Cluster Validity Measures (In)valid? — Supplementary Material

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