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Book/Printed Material Projection-Based Clustering through Self-Organization and Swarm Intelligence : Combining Cluster Analysis with the Visualization of High-Dimensional Data

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Title

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

Summary

  • 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.

Names

  • Thrun, Michael Christoph, author

Created / Published

  • Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2018.

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).

Headings

  • -  Data structures (Computer science)
  • -  Pattern recognition
  • -  Pattern Recognition
  • -  Data Structures

Notes

  • -  Description based on publisher-supplied MARC data.
  • -  Computer Science (R0) (SpringerNature-43710)
  • -  Computer Science (SpringerNature-11645)

Medium

  • 1 online resource (XX, 201 pages 90 illustrations, 29 illustrations in color.)

Digital Id

Library of Congress Control Number

  • 2019754840

Rights Advisory

Access Advisory

  • Unrestricted online access

Online Format

  • image
  • pdf

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Rights & Access

The books in this collection are licensed under open access licenses allowing for the reuse and distribution of each book following the terms described in each license. Researchers should consult the Rights Advisory statement for each title and the accompanying license details for information about rights and permissions associated with each of the licenses.

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Cite This Item

Citations are generated automatically from bibliographic data as a convenience, and may not be complete or accurate.

Chicago citation style:

Thrun, Michael Christoph, Author. Projection-Based Clustering through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Data. Wiesbaden: Springer Fachmedien Wiesbaden: Imprint: Springer Vieweg, 2018. Pdf. https://aj.sunback.homes/item/2019754840/.

APA citation style:

Thrun, M. C. (2018) Projection-Based Clustering through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Data. Wiesbaden: Springer Fachmedien Wiesbaden: Imprint: Springer Vieweg. [Pdf] Retrieved from the Library of Congress, https://aj.sunback.homes/item/2019754840/.

MLA citation style:

Thrun, Michael Christoph, Author. Projection-Based Clustering through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Data. Wiesbaden: Springer Fachmedien Wiesbaden: Imprint: Springer Vieweg, 2018. Pdf. Retrieved from the Library of Congress, <aj.sunback.homes/item/2019754840/>.