Electronic Resource

Projection-based clustering through self-organization and swarm intelligence :combining cluster analysis with the visualization of high-dimensional data

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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.

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

006.3824 THR p

Penerbit

Wiesbaden : Springer Vieweg., 2018

Deskripsi Fisik

xx, 201p. : ill.

Bahasa

English

ISBN/ISSN

9783658205409

Klasifikasi

006.3824

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

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Subjek

Artificial intelligence
Humans
Cluster Analysis

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

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