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cff-version: 1.2.0
message: 'To cite package "DatabionicSwarm" in publications use:'
type: software
license: GPL-3.0-only
title: 'DatabionicSwarm: Swarm Intelligence for Self-Organized Clustering'
version: 2.0.0
doi: 10.1007/978-3-658-20540-9
abstract: '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>.'
authors:
- family-names: Thrun
  given-names: Michael
  email: m.thrun@gmx.net
  orcid: https://orcid.org/0000-0001-9542-5543
- family-names: Stier
  given-names: Quirin
  orcid: https://orcid.org/0000-0002-7896-4737
preferred-citation:
  type: book
  title: Projection-Based Clustering through Self-Organization and Swarm Intelligence
  authors:
  - family-names: Thrun
    given-names: Michael Christoph
  publisher:
    name: Springer
  year: '2018'
  doi: 10.1007/978-3-658-20540-9
  url: https://doi.org/10.1007/978-3-658-20540-9
repository: https://CRAN.R-project.org/package=DatabionicSwarm
repository-code: https://github.com/Mthrun/DatabionicSwarm
url: https://www.deepbionics.org/
date-released: '2024-06-20'
contact:
- family-names: Thrun
  given-names: Michael
  email: m.thrun@gmx.net
  orcid: https://orcid.org/0000-0001-9542-5543