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Projection-Based Clustering through Self-Organization and Swarm Intelligence

Projection-Based Clustering through Self-Organization and Swarm Intelligence

Michael Christoph Thrun

48,16 €
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Editorial:
Springer Nature B.V.
Año de edición:
2018
Materia
Inteligencia artificial
ISBN:
9783658205416
48,16 €
IVA incluido
Disponible

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Sobre IBD

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. 

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