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

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Tác giả: Michael Christoph Thrun

Ngôn ngữ: ger

ISBN-13: 978-3658205409

Ký hiệu phân loại: 006.4 Computer pattern recognition

Thông tin xuất bản: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2018

Mô tả vật lý: XX, 201 p. 90 illus., 29 illus. in color. , online resource.

Bộ sưu tập: Tài liệu truy cập mở

ID: 170003

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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