Projection-Based Clustering through Self-Organization and Swarm Intelligence : Combining Cluster Analysis with the Visualization of High-Dimensional Data / by Michael Christoph Thrun.

Format:

Book

Author/Creator:

Thrun, Michael Christoph, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Pattern perception.

Data structures (Computer science).

Pattern Recognition.

Data Structures.

Local Subjects:

Pattern Recognition.

Data Structures.

Physical Description:

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

Edition:

First edition 2018.

Contained In:

Springer eBooks

Place of Publication:

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

System Details:

text file PDF

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.

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).

Other Format:

Printed edition:

ISBN:

978-3-658-20540-9

9783658205409

Access Restriction:

Restricted for use by site license.