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

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

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 clust...

Descripción completa

Detalles Bibliográficos
Autor principal: Thrun, Michael Christoph. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham Springer Nature 2018
Wiesbaden : 2018.
Edición:1st ed. 2018.
Materias:
Pattern recognition.
Data structures (Computer science).
Pattern Recognition.
Data Structures.
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
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009432070406719
Descripción
Sumario: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.
Descripción Física:1 online resource (XX, 201 p. 90 illus., 29 illus. in color.)
ISBN:9783658205409

Ejemplares similares