Projection-based clustering through self-organization and swarm intelligence : combining cluster analysis with the visualization of high-dimensional data
Item
Title (Dublin Core)
Projection-based clustering through self-organization and swarm intelligence : combining cluster analysis with the visualization of high-dimensional data
Creator (Dublin Core)
Michael Christoph Thrun
Date (Dublin Core)
2018
Publisher (Dublin Core)
Springer
Description (Dublin Core)
This book covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures.The clustering and number of clusters or an absence of cluster structure are verified by the 3D landscape at a glance. DBS is the first swarm-based technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organization and the Nash equilibrium concept from game theory. It results in the elimination of a global objective function and the setting of parameters. By downloading the R package DBS can be applied to data drawn from diverse research fields and used even by non-professionals in the field of data mining.
Subject (Dublin Core)
Mathematics
Language (Dublin Core)
English
isbn (Bibliographic Ontology)
9783658205393 9783658205409
doi (Bibliographic Ontology)
https://doi.org/10.1007/978-3-658-20540-9
