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000921854 019__ $$a1105184392
000921854 020__ $$a9783030196424$$q(electronic book)
000921854 020__ $$a3030196429$$q(electronic book)
000921854 020__ $$z9783030196417
000921854 0247_ $$a10.1007/978-3-030-19
000921854 035__ $$aSP(OCoLC)on1099433847
000921854 035__ $$aSP(OCoLC)1099433847$$z(OCoLC)1105184392
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000921854 08204 $$a006.32$$223
000921854 1112_ $$aWorkshop on Self-Organizing Maps$$n(13th :$$d2019 :$$cBarcelona, Spain)
000921854 24510 $$aAdvances in self-organizing maps, learning vector quantization, clustering and data visualization :$$bproceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019 /$$ceditors, Alfredo Vellido, Karina Gibert, Cecilio Angulo and José David Martín Guerrero.
000921854 2463_ $$aWSOM+ 2019
000921854 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2020]
000921854 264_4 $$c©2020
000921854 300__ $$a1 online resource :$$billustrations.
000921854 336__ $$atext$$btxt$$2rdacontent
000921854 337__ $$acomputer$$bc$$2rdamedia
000921854 338__ $$aonline resource$$bcr$$2rdacarrier
000921854 4901_ $$aAdvances in intelligent systems and computing,$$x2194-5357 ;$$vvolume 976
000921854 504__ $$aIncludes bibliographical references and index.
000921854 506__ $$aAccess limited to authorized users.
000921854 520__ $$aThis book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Since being founded in 1997, the conference has showcased the state of the art in unsupervised machine learning methods related to the successful and widely used self-organizing map (SOM) method, and extending its scope to clustering and data visualization. In this installment of the AISC series, the reader will find theoretical research on SOM, LVQ and related methods, as well as numerous applications to problems in fields ranging from business and engineering to the life sciences. Given the scope of its coverage, the book will be of interest to machine learning researchers and practitioners in general and, more specifically, to those looking for the latest developments in unsupervised learning and data visualization.
000921854 588__ $$aOnline resource; title from PDF title page (viewed April 30, 2019).
000921854 650_0 $$aNeural networks (Computer science)$$vCongresses.
000921854 650_0 $$aSelf-organizing maps$$vCongresses.
000921854 650_0 $$aSelf-organizing systems$$vCongresses.
000921854 7001_ $$aVellido, Alfredo,$$eeditor.
000921854 7001_ $$aGibert, Karina,$$eeditor.
000921854 7001_ $$aAngulo, Cecilio,$$eeditor.
000921854 7001_ $$aMartín Guerrero, José David,$$eeditor.
000921854 830_0 $$aAdvances in intelligent systems and computing ;$$vv. 976.
000921854 852__ $$bebk
000921854 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-19642-4$$zOnline Access$$91397441.1
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000921854 980__ $$aEBOOK
000921854 980__ $$aBIB
000921854 982__ $$aEbook
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