{"product_id":"9783658205393","title":"Projection-Based Clustering Through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Da","description":"\u003cp\u003eThis book is published open access under a CC BY 4.0 license.\u003c\/p\u003e\u003cp\u003eIt 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer Vieweg","offers":[{"title":"Default Title","offer_id":47037091971312,"sku":"9783658205393","price":59.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9783658205393_p0.jpg?v=1763728196","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9783658205393","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}