DatabionicSwarm: Swarm Intelligence for Self-Organized Clustering
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>.
| Version: | 2.0.0 |
| 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 |
| Published: | 2024-06-20 |
| DOI: | 10.32614/CRAN.package.DatabionicSwarm |
| Author: | Michael Thrun [aut, cre, cph], Quirin Stier [aut, rev] |
| Maintainer: | Michael Thrun <m.thrun at gmx.net> |
| BugReports: | https://github.com/Mthrun/DatabionicSwarm/issues |
| License: | GPL-3 |
| URL: | https://www.deepbionics.org/ |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make, pandoc (>=1.12.3, needed for vignettes) |
| Citation: | DatabionicSwarm citation info |
| Materials: | NEWS |
| In views: | Cluster |
| CRAN checks: | DatabionicSwarm results |
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