Projection-Based Clustering through Self-Organization and Swarm Intelligence - Combining Cluster Analysis with the Visualization of High-Dimensional Data (Paperback, 1st ed. 2018)

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.

General

Imprint:	Springer Vieweg
Country of origin:	Germany
Release date:	2018
First published:	2018
Authors:	Michael Christoph Thrun
Dimensions:	240 x 168mm (L x W)
Format:	Paperback
Pages:	201
Edition:	1st ed. 2018
ISBN-13:	978-3-658-20539-3
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Pattern recognition
LSN:	3-658-20539-3
Barcode:	9783658205393

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