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Projection-Based Clustering Through Self-organization and Swarm intelligence : Combining Cluster Analysis With The Visualization of High-Dimensional Data

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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

001 THR p

Publisher

Wiesbaden : Springer Vieweg., 2018

Collation

XX, 201 hadiah

Language

English

ISBN/ISSN

9783658205393

Classification

001

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Mathematics

Specific Detail Info

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Statement of Responsibility

M. Christoph Thrun

Other Information

Cataloger

Kurnadi

Source

-

Validator

maya

Digital Object Identifier (DOI)

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Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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