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Projection-Based Clustering through Self-Organization and Swarm Intelligence

Combining Cluster Analysis with the Visualization of High-Dimensional Data

by Michael Christoph Thrun

Projection-Based Clustering through Self-Organization and Swarm Intelligence

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Book Description

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.

This open book is licensed under a Creative Commons License (CC BY). You can download Projection-Based Clustering through Self-Organization and Swarm Intelligence ebook for free in PDF format (51.7 MB).

Book Details

Title
Projection-Based Clustering through Self-Organization and Swarm Intelligence
Subject
Computer Science
Publisher
Springer
Published
2018
Pages
210
Edition
1
Language
English
ISBN13
9783658205393
ISBN10
3658205393
ISBN13 Digital
9783658205409
ISBN10 Digital
3658205407
PDF Size
51.7 MB
License
CC BY

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