CRAN/E | DatabionicSwarm

DatabionicSwarm

Swarm Intelligence for Self-Organized Clustering

Installation

About

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.

Citation DatabionicSwarm citation info
www.deepbionics.org/
System requirements GNU make, pandoc (>=1.12.3, needed for vignettes)
Bug report File report

Key Metrics

Version 1.2.1
R ≥ 3.0
Published 2023-10-13 189 days ago
Needs compilation? yes
License GPL-3
CRAN checks DatabionicSwarm results

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Maintainer

Maintainer

Michael Thrun

m.thrun@gmx.net

Authors

Michael Thrun

aut / cre / cph

Quirin Stier

aut / rev

Material

NEWS
Reference manual
Package source

In Views

Cluster

Vignettes

Short Intro to the Databionic Swarm (DBS)

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DatabionicSwarm archive

Depends

R ≥ 3.0

Imports

Rcpp ≥ 1.0.8
RcppParallel ≥ 5.1.4
deldir
GeneralizedUmatrix

Suggests

DataVisualizations
knitr ≥ 1.12
rmarkdown ≥ 0.9
plotrix
geometry
sp
spdep
parallel
rgl
png
ProjectionBasedClustering
parallelDist
pracma
dendextend

LinkingTo

Rcpp
RcppArmadillo
RcppParallel

Reverse Imports

DRquality

Reverse Suggests

FCPS
ProjectionBasedClustering