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

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https://library.oapen.org/bitstream/20.500.12657/27739/1/1002266.pdf
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https://library.oapen.org/bitstream/20.500.12657/27739/1/1002266.pdf
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https://library.oapen.org/bitstream/20.500.12657/27739/1/1002266.pdf
Author(s)
Christoph Thrun, Michael
Language
English
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Abstract
Cluster Analysis; Dimensionality Reduction; Swarm Intelligence; Visualization; Unsupervised Machine Learning; Data Science; Knowledge Discovery; 3D Printing; Self-Organization; Emergence; Game Theory; Advanced Analytics; High-Dimensional Data; Multivariate Data; Analysis of Structured Data
URI
https://directory.doabooks.org/handle/20.500.12854/34375
Keywords
Cluster Analysis; Dimensionality Reduction; Swarm Intelligence; Visualization; Unsupervised Machine Learning; Data Science; Knowledge Discovery; 3D Printing; Self-Organization; Emergence; Game Theory; Advanced Analytics; High-Dimensional Data; Multivariate Data; Analysis of Structured Data
DOI
10.1007/978-3-658-20540-9
ISBN
9783658205409
Publisher
Springer Nature
Publisher website
http://www.springernature.com/oabooks
Publication date and place
Cham, 2018
Classification
Mathematics & science
Rights
https://creativecommons.org/licenses/by/4.0/
open access
Except where otherwise noted, this item's license is described as open access