Projection-Based Clustering through Self-Organization and Swarm Intelligence
Produktnummer:
180c5893028bdd4414897e44c9babdb16c
| Autor: | Thrun, Michael Christoph |
|---|---|
| Themengebiete: | 3D printing Cluster Analysis Data science Dimensionality Reduction Knowledge Discovery Open Access Self-Organization Swarm Intelligence Unsupervised machine learning Visualization |
| Veröffentlichungsdatum: | 22.01.2018 |
| EAN: | 9783658205393 |
| Sprache: | Englisch |
| Seitenzahl: | 201 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer Fachmedien Wiesbaden GmbH |
| Untertitel: | Combining Cluster Analysis with the Visualization of High-Dimensional Data |
Produktinformationen "Projection-Based Clustering through Self-Organization and Swarm Intelligence"
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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