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Projection-based clustering through self-organization and swarm intelligence : combining cluster analysis with the visualization of high-dimensional data

It 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
006.3824 THR p
Publisher
Wiesbaden : Springer Vieweg.,
Collation
xx, 201p. : ill.
Language
English
ISBN/ISSN
9783658205409
Classification
006.3824
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Data structures (Computer science)
Computer Science
Self-organizing systems
Swarm intelligence
Optical pattern recognition
Pattern perception
Specific Detail Info
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Statement of Responsibility
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