Swarm Intelligence for Self-Organized Clustering R package DatabionicSwarm version 2.0.0 CRAN Task View: Cluster (https://CRAN.R-project.org/view=Cluster) Algorithms implementing populations of agents that interact with one another and sense their environment may exhibit emergent behavior such as self-organization and swarm intelligence. Here, a swarm system called Databionic swarm (DBS) is introduced which was published in Thrun, M.C., Ultsch A.: "Swarm Intelligence for Self-Organized Clustering" (2020), Artificial Intelligence, <DOI:10.1016/j.artint.2020.103237>. DBS is able to adapt itself to structures of high-dimensional data such as natural clusters characterized by distance and/or density based structures in the data space. The first module is the parameter-free projection method called Pswarm (Pswarm()), which exploits the concepts of self-organization and emergence, game theory, swarm intelligence and symmetry considerations. The second module is the parameter-free high-dimensional data visualization technique, which generates projected points on the topographic map with hypsometric tints defined by the generalized U-matrix (GeneratePswarmVisualization()). The third module is the clustering method itself with non-critical parameters (DBSclustering()). Clustering can be verified by the visualization and vice versa. The term DBS refers to the method as a whole. It enables even a non-professional in the field of data mining to apply its algorithms for visualization and/or clustering to data sets with completely different structures drawn from diverse research fields. The comparison to common projection methods can be found in the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>. Software Depends: R (>= 3.0) Imports: Rcpp (>= 1.0.8), RcppParallel (>= 5.1.4), deldir, GeneralizedUmatrix, ABCanalysis, ggplot2 LinkingTo: Rcpp, RcppArmadillo, RcppParallel Suggests: DataVisualizations, knitr (>= 1.12), rmarkdown (>= 0.9), plotrix, geometry, sp, spdep, parallel, rgl, png, ProjectionBasedClustering, parallelDist, pracma, dendextend Michael Thrun <m.thrun@gmx.net> Comprehensive R Archive Network (CRAN) Michael Thrun [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-9542-5543>), Quirin Stier [aut, rev] (ORCID: <https://orcid.org/0000-0002-7896-4737>) GPL-3 2024-06-20 application/tgz https://CRAN.R-project.org/package=DatabionicSwarm doi:10.32614/CRAN.package.DatabionicSwarm