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Material Detail

Projection-Based Clustering through Self-Organization and Swarm Intelligence | SpringerLink

Projection-Based Clustering through Self-Organization and Swarm Intelligence | SpringerLink

This book is published open access under a CC BY 4.0 license.   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... Show More
Keywords:
Multivariate data, Knowledge Discovery, Visualization, High-dimensional data, Data science, Game theory, Dimensionality Reduction, Swarm Intelligence, Open Access, Unsupervised machine learning, Self-Organization, Emergence, Analysis of stuctured data, Advanced Analytics, 3D printing, Cluster Analysis
Disciplines:
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More about this material

Material Type:
Open (Access) Textbook
Date Added to MERLOT:
May 7, 2018
Date Modified in MERLOT:
May 7, 2018
Author:
Michael Christoph Thrun, Marburg, Germany
Submitter:
Naomi Toftness
Primary Audience:
College General Ed, College Lower Division, College Upper Division, Graduate School, Professional
Technical Format:
PDF, Website
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
no
Source Code Available:
unknown
Accessibility Information Available:
Unknown
Creative Commons:
Creative Commons License
This work is licensed under a Attribution 3.0 United States

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