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Projection-Based Clustering through Self-Organization and Swarm Intelligence

Combining Cluster Analysis with the Visualization of High-Dimensional Data

Éditeur :

Springer Vieweg

Paru le : 2018-01-09

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...
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Description du livre


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. 

À propos

Auteur
Michael Christoph Thrun
Éditeur
Springer Vieweg
Collection
n.c
Parution
2018-01-09
Pages
201 pages
EAN papier
9783658205393

Auteur(s) du livre


Defaut-Illustration Michael Christoph Thrun

Caractéristiques détaillées - droits

EAN PDF
9783658205409
Prix
0,00 €
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
52961 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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