Projection-Based Clustering through Self-Organization and Swarm Intelligence

Download free course Projection-Based Clustering through Self-Organization and Swarm Intelligence, pdf file on 210 pages by Michael Christoph Thrun.

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.

Table of contents

Pages :	210
Size :	51.7 MB
File type :	PDF
Downloads:	82
Created:	2022-02-03
License:	CC BY
Author(s):	Michael Christoph Thrun

Projection-Based Clustering through Self-Organization and Swarm Intelligence

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