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.

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	Preț	Express
Paperback (1)	240^.53 lei 6-8 săpt.
Saint Philip Street Press – 7 oct 2020	240^.53 lei 6-8 săpt.
Hardback (1)	303^.67 lei 6-8 săpt.
Saint Philip Street Press – 7 oct 2020	303^.67 lei 6-8 săpt.

Preț

Express

Paperback (1)

240^.53 lei 6-8 săpt.

Saint Philip Street Press – 7 oct 2020

240^.53 lei 6-8 săpt.

Hardback (1)

303^.67 lei 6-8 săpt.

Saint Philip Street Press – 7 oct 2020

303^.67 lei 6-8 săpt.