Projection-Based Clustering through Self-Organization and Swarm Intelligence : Combining Cluster Analysis with the Visualization of High-Dimensional Data
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Különgyűjtemény: | e-book |
Formátum: | könyv |
Nyelv: | angol |
Megjelenés: |
Wiesbaden : Springer Fachmedien Wiesbaden,
2018
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Tárgyszavak: | |
Online elérés: | http://doi.org/10.1007/978-3-658-20540-9 |
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100 | 1 | |a Thrun, Michael Christoph | |
245 | 1 | 0 | |a Projection-Based Clustering through Self-Organization and Swarm Intelligence |b Combining Cluster Analysis with the Visualization of High-Dimensional Data |c by Michael Christoph Thrun |
260 | |a Wiesbaden |b Springer Fachmedien Wiesbaden |c 2018 | ||
300 | |a XX, 201 p. 90 illusztrált, 29 illusztrált szinesben |b online forrás | ||
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505 | 0 | |a 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). | |
520 | |a 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. | ||
580 | |a Nyomtatott kiadás: ISBN 9783658205393 | ||
580 | |a Nyomtatott kiadás: ISBN 9783658205416 | ||
506 | |a Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. | ||
598 | |a könyv | ||
595 | |a e-book | ||
650 | 0 | 4 | |a optikai alakfelismerés |
650 | 0 | 4 | |a adatszerkezetek |x számítástechnika |
650 | 0 | |a Optical pattern recognition. | |
650 | 0 | |a Data structures (Computer scienc. | |
653 | |a elektronikus könyv | ||
710 | 2 | |a SpringerLink (Online service) |e közreadó testület | |
856 | 4 | 0 | |y Online változat |u http://doi.org/10.1007/978-3-658-20540-9 |
850 | |a B2 | ||
264 | 1 | |a Wiesbaden |b Springer Fachmedien Wiesbaden |b Imprint: Springer Vieweg |c 2018 |