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{ "item_title" : "Projection-Based Clustering Through Self-Organization and Swarm Intelligence", "item_author" : [" Michael Christoph Thrun "], "item_description" : "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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/01/326/991/1013269918_b.jpg", "price_data" : { "retail_price" : "55.95", "online_price" : "55.95", "our_price" : "55.95", "club_price" : "55.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Projection-Based Clustering Through Self-Organization and Swarm Intelligence|Michael Christoph Thrun

Projection-Based Clustering Through Self-Organization and Swarm Intelligence : Combining Cluster Analysis With the Visualization of High-Dimensional Da

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Overview

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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

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Details

  • ISBN-13: 9781013269912
  • ISBN-10: 1013269918
  • Publisher: Saint Philip Street Press
  • Publish Date: October 2020
  • Dimensions: 11 x 8.5 x 0.5 inches
  • Shipping Weight: 1.72 pounds
  • Page Count: 212

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