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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.
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