2023-06-28 - Deep R Programming v1.0.0
Final version of Deep R Programming is now available.
A preprint of our (Lucio Bertoli-Barsotti, Marek Gagolewski, Grzegorz Siudem, and Barbara Żogała-Siudem) new contribution Gini-stable Lorenz curves and their relation to the generalised Pareto distribution is now available on arXiv.
A preprint of our (Lucio Bertoli-Barsotti, Marek Gagolewski, Grzegorz Siudem, and Barbara Żogała-Siudem) new contribution Equivalence of inequality indices: Three dimensions of impact revisited is now available on arXiv.
2023-03-23 - Submitted: Community Detection in Complex Networks
An early version of my most recent paper Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering is now available on arXiv.
An early version of my most recent paper Hierarchical Clustering with OWA-based Linkages, the Lance-Williams Formula, and Dendrogram Inversions is now available on arXiv.
An early version of my most recent paper Clustering with minimum spanning trees: How good can it be? is now available on arXiv.
New paper by Michał Boczek, Marek Kaluszka, Andrzej Okolewski, and yours truly to appear in Fuzzy Sets and Systems (DOI: 10.1016/j.fss.2023.01.014).
2022-12-28 - Deep R Programming (First Draft)
I’ve released an early draft of my new textbook Deep R Programming – the first 12 chapters. It is a comprehensive course on one of the most popular languages in data science (statistical computing, graphics, machine learning, data wrangling and analytics). It introduces the base language in-depth and is aimed at ambitious students, practitioners, and researchers who would like to become independent users of this powerful environment.
2022-11-16 - A Framework for Benchmarking Clustering Algorithms
A paper related to my framework for benchmarking clustering algorithms will appear in SoftwareX (DOI: 10.1016/j.softx.2022.101270). Its preprint is available on arXiv. The project also has a dedicated website: https://clustering-benchmarks.gagolewski.com.
2022-11-15 - Interpretable Reparameterisations of Citation Models
To be published in Journal of Informetrics: a new paper by Barbara Żogała-Siudem, Anna Cena, Greg Siudem, and I (DOI: 10.1016/j.joi.2022.101355).
2022-10-14 - Accidentality in Journal Citation Patterns
Maciej J. Mrowiński, Grzesiek Siudem, and I will have another contribution in the Journal of Informetrics (DOI: 10.1016/j.joi.2022.101341).
2022-09-08 - Submitted: Adjusted Asymmetric Accuracy
An early version of my most recent paper Adjusted Asymmetric Accuracy: A Well-Behaving External Cluster Validity Measure is now available on arXiv.
2022-09-05 - genieclust 1.1.0 on PyPI and CRAN
2022-08-08 - genieclust 1.0.1 on PyPI and CRAN
2022-07-16 - Minimalist Data Wrangling with Python
I’ve completed a textbook on data wrangling with Python. This work is, and will remain, available for everyone’s enjoyment, because I believe that education should be free for all. Just like open-source software, more open-access textbooks are urgently needed. Free == independent == higher quality.
2022-07-11 - stringi 1.7.8 on CRAN
Gleb Beliakov, Simon James, and I will have another paper published in Fuzzy Sets and Systems (DOI: 10.1016/j.fss.2022.06.025).
A new paper of mine (coauthors: Agnieszka Geras, Grzesiek Siudem) will appear in the Journal of the Association for Information Science and Technology (DOI: 10.1002/asi.24658).
2022-03-15 - Ockham’s Index of Scientific Impact
A new paper of mine (co-authored by Basia Żogała-Siudem, Grzesiek Siudem, and Ania Cena) will appear in Scientometrics (DOI: 10.1007/s11192-022-04345-2)
2022-02-26 - Validating Citation Models by Proxy Indices
Accepted for publication in Journal of Informetrics: a new paper by Ania Cena, Basia Żogała-Siudem, Grzesiek Siudem, and yours truly (DOI: 10.1016/j.joi.2022.101267).
2022-02-19 - Ministry of Education and Science Award
Together with a number of excellent colleagues, I have received the Ministry of Education and Science, Poland, award for significant achievements in teaching, for the design and implementation of a new innovative course of study – Master of Data Science – at the Faculty of Mathematics and Information Science, Warsaw University of Technology.
2022-02-04 - Invited Lecture at FSTA 2022
I’m giving (online…) an invited lecture at FSTA 2022 today entitled Clustering and aggregation, where we will examine a few scenarios where aggregation methods can aid in the construction, analysis, and evaluation of tools related to data clustering, including linkage criteria, partition similarity measures, and cluster validity indices. We’ll also indicate some noteworthy challenges for both theoretical and practical future research endeavours.
2021-10-08 - Homepage Rewrite
My website is now generated with Sphinx.
2021-10-06 - Are Cluster Validity Measures (In)valid?
To appear in Information Sciences — a paper coauthored by Maciek Bartoszuk and Ania Cena (doi:10.1016/j.ins.2021.10.004).
2021-09-27 - Paper on stringi
A new paper by Maciek Bartoszuk and me is to appear in Knowledge-Based Systems (doi:10.1016/j.knosys.2021.107427).
English is the native language for only 5% of the World population. Also, only 17% of us can understand this text. Moreover, the Latin alphabet is the main one for merely 36% of the total. The early computer era, now a very long time ago, was dominated by the US. Due to the proliferation of the internet, smartphones, social media, and other technologies and communication platforms, this is no longer the case. The stringx package replaces base R string functions (such as
sprintf()) with ones that fully support the Unicode standards related to natural language processing, fixes some long-standing inconsistencies, and introduces some new, useful features. Thanks to ICU (International Components for Unicode) and stringi, they are fast, reliable, and portable across different platforms. Now available from CRAN.
2021-07-14 - stringi 1.7.2
Another major update of stringi brings a rewritten version of
stri_sprintf, support for custom rule-based transliteration, extraction of named regex capture groups, and many other enhancements.
2021-06-17 - realtest 0.2.1 on CRAN
An update to realtest is now available.
realtest is a framework for unit testing for realistic minimalists, where we distinguish between expected, acceptable, current, fallback, ideal, or regressive behaviour. It can also be used for monitoring other software projects for changes. Now available on CRAN.
2021-05-27 - Paper on the genieclust Python+R package