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Autore: | Thrun Michael Christoph |
Titolo: | Projection-Based Clustering through Self-Organization and Swarm Intelligence [[electronic resource] ] : Combining Cluster Analysis with the Visualization of High-Dimensional Data / / by Michael Christoph Thrun |
Pubblicazione: | Cham, : Springer Nature, 2018 |
Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2018 | |
Edizione: | 1st ed. 2018. |
Descrizione fisica: | 1 online resource (XX, 201 p. 90 illus., 29 illus. in color.) |
Disciplina: | 006.4 |
Soggetto topico: | Pattern recognition |
Data structures (Computer science) | |
Pattern Recognition | |
Data Structures | |
Soggetto non controllato: | Cluster Analysis |
Dimensionality Reduction | |
Swarm Intelligence | |
Visualization | |
Unsupervised Machine Learning | |
Data Science | |
Knowledge Discovery | |
3D Printing | |
Self-Organization | |
Emergence | |
Game Theory | |
Advanced Analytics | |
High-Dimensional Data | |
Multivariate Data | |
Analysis of Structured Data | |
Nota di contenuto: | 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). |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Projection-Based Clustering through Self-Organization and Swarm Intelligence |
ISBN: | 3-658-20540-7 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910293141703321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |