Projection-Based Clustering through Self-Organization and Swarm Intelligence

Projection-Based Clustering through Self-Organization and Swarm Intelligence

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-d...

全面介绍

Gespeichert in:
书目详细资料
主要作者: Thrun, Michael Christoph
其他作者: Ultsch, Alfred G. H. (Prof. Dr.) (BetreuerIn (Doktorarbeit))
格式: Dissertation
语言:英语
出版: Philipps-Universität Marburg 2018
主题:
Schwarmintelligenz
Graphentheorie
Cluster
Emergenz
Dimensionality Reduction
Selbstorganisation
Datenauswer
Cluster Analysis
Cluster-Analyse
3D pr
Visualization
Knowledge Discovery
Unsupervised machine learning
Schwarmintelligenz, Dimensionsreduktion
Datenanalyse
Spieltheorie
Datenanalyse ,
Swarm Intelligence
Dimensionsreduktion
Cluster Analyse
Mathematik
Data science
Mathematics
在线阅读:PDF-Volltext
标签: 添加标签
没有标签, 成为第一个标记此记录!
实物特征
总结: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.
实物描述:210 Seiten
ISBN:978-3-658-20540-9
DOI:10.17192/es2018.0002

相似书籍