85 citations · 254 across the 14 of their papers we have counts for
5 papers · 1 filter
Lumbermark: Resistant Clustering by Chopping Up Mutual Reachability Minimum Spanning Trees
Marek Gagolewski
We introduce Lumbermark, a robust divisive clustering algorithm capable of detecting clusters of varying sizes, densities, and shapes. Lumbermark iteratively chops off large limbs…
Minimalist Data Wrangling with Python
Marek Gagolewski
Minimalist Data Wrangling with Python is envisaged as a student's first introduction to data science, providing a high-level overview as well as discussing key concepts in detail.…
Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm
Marek Gagolewski, Maciej Bartoszuk, Anna Cena
The time needed to apply a hierarchical clustering algorithm is most often dominated by the number of computations of a pairwise dissimilarity measure. Such a constraint, for large…
A framework for benchmarking clustering algorithms
Marek Gagolewski
The evaluation of clustering algorithms can involve running them on a variety of benchmark problems, and comparing their outputs to the reference, ground-truth groupings provided b…
Normalised clustering accuracy: An asymmetric external cluster validity measure
Marek Gagolewski
There is no, nor will there ever be, single best clustering algorithm. Nevertheless, we would still like to be able to distinguish between methods that work well on certain task ty…