A framework for benchmarking clustering algorithms

20 September 2022

Papers citing "A framework for benchmarking clustering algorithms"

9 / 9 papers shown

Title
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood Bryon Aragam Ruiyi Yang 45 0 0 29 Oct 2024
MNIST-Nd: a set of naturalistic datasets to benchmark clustering across dimensions Polina Turishcheva Laura Hansel Martin Ritzert Marissa A. Weis Alexander S. Ecker 25 1 0 21 Oct 2024
Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping Christel Sirocchi Martin Urschler Bastian Pfeifer 30 2 0 27 Apr 2024
On the Use of Relative Validity Indices for Comparing Clustering Approaches Luke W. Yerbury R. Campello G. C. Livingston Mark Goldsworthy Lachlan OÑeil 27 1 0 16 Apr 2024
MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation Chandrani Kumari Rahul Siddharthan 13 0 0 30 Oct 2023
Hierarchical clustering with OWA-based linkages, the Lance-Williams formula, and dendrogram inversions M. Gagolewski Anna Cena S. James G. Beliakov 14 3 0 10 Mar 2023
Clustering with minimum spanning trees: How good can it be? M. Gagolewski Anna Cena Maciej Bartoszuk Lukasz Brzozowski 10 7 0 10 Mar 2023
Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm M. Gagolewski Maciej Bartoszuk Anna Cena 32 72 0 13 Sep 2022
Normalised clustering accuracy: An asymmetric external cluster validity measure M. Gagolewski 13 2 0 07 Sep 2022