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Projection-Based Clustering Through Self-Organization and Swarm Intelligence
Michael Christoph Thrun
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Projection-Based Clustering Through Self-Organization and Swarm Intelligence
Michael Christoph Thrun
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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Medien | Bücher Taschenbuch (Buch mit Softcover und geklebtem Rücken) |
Erscheinungsdatum | 8. Oktober 2020 |
ISBN13 | 9781013269905 |
Verlag | Saint Philip Street Press |
Seitenanzahl | 212 |
Maße | 216 × 280 × 11 mm · 503 g |
Sprache | Englisch |