Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Projection-Based Clustering Through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Da

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

Thrun, Michael Christoph

Paperback

DatabasesGeneral Computers

ISBN10: 3658205393
ISBN13: 9783658205393
Publisher: Springer Vieweg
Published: Jan 22 2018
Pages: 201
Weight: 0.80
Height: 0.47 Width: 6.69 Depth: 9.61
Language: English

This open access 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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