{"product_id":"projection-based-clustering-through-self-organization-and-swarm-intelligence-combining-cluster-analysis-with-the-visualization-of-high-dimensional-da-9783658205393","title":"Projection-Based Clustering Through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Da","description":"\u003cp\u003e • Author(s): Michael Christoph Thrun\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer Vieweg\u003cbr\u003e • BISAC: Artificial Intelligence - Computer Vision \u0026amp; Pattern Recognit\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003eThis book is published open access under a CC BY 4.0 license.\u003cbr\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. \u003cbr\u003e\u003cb\u003eContents\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eApproaches to Unsupervised Machine Learning\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eMethods of Visualization of High-Dimensional Data\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eQuality Assessments of Visualizations\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBehavior-Based Systems in Data Science\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDatabionic Swarm (DBS)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eTarget Groups\u003c\/b\u003eLecturers, students as well as non-professional users of data science, statistics, computer science, business mathematics, medicine, biology\u003cbr\u003e\u003cb\u003eThe Author\u003c\/b\u003e\u003cb\u003eMichael C. Thrun\u003c\/b\u003e, Dipl.-Phys., successfully defended his Ph.D. in 2017 at the Philipps University of Marburg. Thrun's advisor was the Chair of Neuroinformatics, Prof. Dr. rer. nat. Alfred G. H. Ultsch.\u003cbr\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45279098273943,"sku":"9783658205393","price":3672.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783658205393.webp?v=1769292681","url":"https:\/\/atlanticbooks.com\/products\/projection-based-clustering-through-self-organization-and-swarm-intelligence-combining-cluster-analysis-with-the-visualization-of-high-dimensional-da-9783658205393","provider":"Atlantic Books","version":"1.0","type":"link"}