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Projection-Based Clustering Through Self-Organization and Swarm Intelligence: Combining Cluster Anal

Projection-Based Clustering Through Self-Organization and Swarm Intelligence: Combining Cluster Anal

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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.

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Pub dateOct 8, 2020
ISBN-101013269918
ISBN-139781013269912
LanguageEnglish
Last updated 2025-06-26 11:57
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