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Více informací o knize Projection-Based Clustering through Self-Organization and Swarm Intelligence

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Projection-Based Clustering through Self-Organization and Swarm Intelligence
• Podnázev: Combining Cluster Analysis with the Visualization of High-Dimensional Data
• Autor: Michael Christoph Thrun
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 201
• EAN: 9783658205393
• ISBN: 3658205393
• ID: 18658150
• Nakladatelství: Springer Fachmedien Wiesbaden
• Hmotnost: 472 g
• Rozměry: 240 × 168 × 14 mm
• Datum vydání: 22. January 2018

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