Publication:
Projection-Based Clustering through Self-Organization and Swarm Intelligence
Projection-Based Clustering through Self-Organization and Swarm Intelligence
dc.contributor.author | Michael Christoph Thrun | |
dc.date.accessioned | 2023-06-14T04:05:53Z | |
dc.date.available | 2023-06-14T04:05:53Z | |
dc.date.issued | 2018 | |
dc.description | DOI: https://doi.org/10.1007/978-3-658-20540-9; License: CC BY; Publisher: Springer | |
dc.description.abstract | 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. | |
dc.identifier.doi | https://doi.org/10.1007/978-3-658-20540-9 | |
dc.identifier.isbn | 9783658205409 | |
dc.identifier.uri | http://repository.vlu.edu.vn:443/handle/123456789/5195 | |
dc.language.iso | en | |
dc.subject | Open Access | |
dc.subject | Cluster Analysis | |
dc.subject | Dimensionality Reduction | |
dc.subject | Swarm Intelligence | |
dc.subject | Visualization | |
dc.subject | Unsupervised machine learning | |
dc.subject | Data science | |
dc.subject | Knowledge Discovery | |
dc.subject | 3D printing | |
dc.subject | Self-Organization | |
dc.subject | Emergence | |
dc.subject | Game theory | |
dc.subject | Advanced Analytics | |
dc.subject | High-dimensional data | |
dc.subject | Multivariate data | |
dc.subject | Analysis of stuctured data | |
dc.subject | data structures | |
dc.title | Projection-Based Clustering through Self-Organization and Swarm Intelligence | |
dc.type | Resource Types::text::book | |
dspace.entity.type | Publication | |
oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# |
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