Projection-Based Clustering through Self-Organization and Swarm Intelligence

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.

This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

• Format: Paperback
• Language: English
• ISBN: 101326990X
• ISBN13: 9781013269905
• Release Date: October 2020
• Publisher: Saint Philip Street Press
• Length: 212 Pages
• Weight: 1.11 lbs.
• Dimensions: 0.5" x 8.5" x 11.0"