Projection-Based Clustering through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Data - Tapa blanda

Thrun, Michael Christoph

 
9783658205393: Projection-Based Clustering through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Data
Tapa blanda
ISBN 10: 3658205393 ISBN 13: 9783658205393
Editorial: Springer Vieweg, 2018

Sinopsis

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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Acerca del autor

Michael C. Thrun, Dipl.-Phys., successfully defended his Ph.D. in 2017 at the Philipps University of Marburg. Thrun’s advisor was the Chair of Neuroinformatics, Prof. Dr. rer. nat. Alfred G. H. Ultsch.

De la contraportada

This book is published open access under a CC BY 4.0 license.

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. 

Contents
  • Approaches to Unsupervised Machine Learning
  • Methods of Visualization of High-Dimensional Data
  • Quality Assessments of Visualizations
  • Behavior-Based Systems in Data Science
  • Databionic Swarm (DBS)
Target Groups
Lecturers, students as well as non-professional users of data science, statistics, computer science, business mathematics, medicine, biology

The Author
Michael C. Thrun, Dipl.-Phys., successfully defended his Ph.D. in 2017 at the Philipps University of Marburg. Thrun’s advisor was the Chair of Neuroinformatics, Prof. Dr. rer. nat. Alfred G. H. Ultsch.

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Editorial
Springer Vieweg
Año de publicación
2018
Idioma
Inglés
ISBN 10 
3658205393
ISBN 13 
9783658205393
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
224
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
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Hamburg
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Otras ediciones populares con el mismo título

9781013269912: Projection-Based Clustering Through Self-Organization and Swarm Intelligence: Combining Cluster Analysis With the Visualization of High-Dimensional Data

Edición Destacada

ISBN 10:  1013269918 ISBN 13:  9781013269912
Editorial: Saint Philip Street Press, 2020
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