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

Michael Christoph Thrun

ISBN 10: 101326990X / ISBN 13: 9781013269905

Edité par Saint Philip Street Press, 2020

A propos de cet article

This item is printed on demand. New copy - Usually dispatched within 5-9 working days 216.

N° de réf. du vendeur C9781013269905

Détails bibliographiques

• Titre: Projection-Based Clustering Through Self-Organization and Swarm Intelligence: Combining Cluster Analysis With the Visualization of High-Dimensional Data
• Éditeur: Saint Philip Street Press
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 101326990X
• ISBN à 13 chiffres: 9781013269905
• Reliure: Paperback / softback
• État de l'article: New

A propos de ce titre

Synopsis

This book 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.

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