Share
Projection-Based Clustering Through Self-Organization and Swarm Intelligence: Combining Cluster Analysis With the Visualization of High-Dimensional Data
Michael Christoph Thrun (Author)
·
Springer Vieweg
· Paperback
Projection-Based Clustering Through Self-Organization and Swarm Intelligence: Combining Cluster Analysis With the Visualization of High-Dimensional Data - Michael Christoph Thrun
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Monday, June 17 and
Wednesday, July 03.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Projection-Based Clustering Through Self-Organization and Swarm Intelligence: Combining Cluster Analysis With the Visualization of High-Dimensional Data"
This book is published open access under a CC BY 4.0 license.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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
