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Projection-Based Clustering through Self-Organization and Swarm Intelligence

Combining Cluster Analysis with the Visualization of High-Dimensional Data

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  • Open Access
  • © 2018

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  • Enablement of Visualization with Clustering for Non-Professionals

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Table of contents (14 chapters)


About this book

This open access 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. 

Authors and Affiliations

  • Marburg, Germany

    Michael Christoph Thrun

About the author

Michael C. Thrun, Dipl.-Phys., successfully defended his Ph.D. in 2017 at the Philipps University of Marburg. Thrun’s advisor was the Chair of Neuroinformatics, Prof. Dr. rer. nat. Alfred G. H. Ultsch.

Bibliographic Information

  • Book Title: Projection-Based Clustering through Self-Organization and Swarm Intelligence

  • Book Subtitle: Combining Cluster Analysis with the Visualization of High-Dimensional Data

  • Authors: Michael Christoph Thrun

  • DOI:

  • Publisher: Springer Vieweg Wiesbaden

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s) 2018

  • Softcover ISBN: 978-3-658-20539-3Published: 22 January 2018

  • eBook ISBN: 978-3-658-20540-9Published: 09 January 2018

  • Edition Number: 1

  • Number of Pages: XX, 201

  • Number of Illustrations: 61 b/w illustrations, 29 illustrations in colour

  • Topics: Pattern Recognition, Data Structures

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