Projection-Based Clustering through Self-Organization and Swarm Intelligence
Combining Cluster Analysis with the Visualization of High-Dimensional Data
Authors: Thrun, Michael Christoph
Free Preview- Enablement of Visualization with Clustering for Non-Professionals
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- About this book
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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.
- About the authors
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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.
- Table of contents (14 chapters)
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Introduction
Pages 1-3
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Fundamentals
Pages 5-20
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Approaches to Cluster Analysis
Pages 21-31
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Methods of Projection
Pages 33-42
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Visualizing the Output Space
Pages 43-53
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Table of contents (14 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Projection-Based Clustering through Self-Organization and Swarm Intelligence
- Book Subtitle
- Combining Cluster Analysis with the Visualization of High-Dimensional Data
- Authors
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- Michael Christoph Thrun
- Copyright
- 2018
- Publisher
- Springer Vieweg
- Copyright Holder
- The Editor(s) (if applicable) and The Author(s)
- eBook ISBN
- 978-3-658-20540-9
- DOI
- 10.1007/978-3-658-20540-9
- Softcover ISBN
- 978-3-658-20539-3
- Edition Number
- 1
- Number of Pages
- XX, 201
- Number of Illustrations
- 61 b/w illustrations, 29 illustrations in colour
- Topics
