Projection-Based Clustering through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Data

• Tác giả: Michael Christoph Thrun
• Ngôn ngữ: eng
• ISBN-13: 978-3658205393
• Ký hiệu phân loại: 006.3824 Artificial intelligence
• Thông tin xuất bản: Wiesbaden, Germany : Springer Nature, 2018
• Mô tả vật lý: 1 electronic resource (201 p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 236213

Tóm tắt

This 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.