Electronic Resource

Projection-Based Clustering through Self-Organization and Swarm Intelligence

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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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Detail Information

Series Title

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Call Number

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Publisher

: Springer Fachmedien Wiesbaden., 2018

Collation

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Language

ISBN/ISSN

9783658205409

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Specific Detail Info

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Statement of Responsibility

Michael Christoph Thrun

Other Information

Cataloger

Siti Muawanah

Source

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Validator

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Digital Object Identifier (DOI)

https://link.springer.com/book/10.1007/978-3-658-20540-9

Journal Volume

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