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Anglický jazyk
Projection-Based Clustering through Self-Organization and Swarm Intelligence
Autor: Michael Christoph Thrun
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... Viac o knihe
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O knihe
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.
- Vydavateľstvo: Springer Fachmedien Wiesbaden
- Rok vydania: 2018
- Formát: Paperback
- Rozmer: 240 x 168 mm
- Jazyk: Anglický jazyk
- ISBN: 9783658205393
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