001449095 000__ 03835cam\a2200565\i\4500
001449095 001__ 1449095
001449095 003__ OCoLC
001449095 005__ 20230310004342.0
001449095 006__ m\\\\\o\\d\\\\\\\\
001449095 007__ cr\un\nnnunnun
001449095 008__ 220830s2022\\\\sz\a\\\\o\\\\\111\0\eng\d
001449095 020__ $$a9783031154447$$q(electronic bk.)
001449095 020__ $$a3031154444$$q(electronic bk.)
001449095 020__ $$z9783031154430$$q(print)
001449095 0247_ $$a10.1007/978-3-031-15444-7$$2doi
001449095 035__ $$aSP(OCoLC)1342788174
001449095 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCF$$dOCLCQ
001449095 049__ $$aISEA
001449095 050_4 $$aQA76.87
001449095 08204 $$a006.32$$223/eng/20220830
001449095 1112_ $$aWorkshop on Self-Organizing Maps$$n(14th :$$d2022 :$$cPrague, Czech Republic)
001449095 24510 $$aAdvances in self-organizing maps, learning vector quantization, clustering and data visualization :$$bdedicated to the memory of Teuvo Kohonen / Proceedings of the 14th International Workshop, WSOM+ 2022, Prague, Czechia, July 6-7, 2022 /$$cJan Faigl, Madalina Olteanu, Jan Drchal, editors.
001449095 2463_ $$aWSOM+ 2022
001449095 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022.
001449095 300__ $$a1 online resource (xii, 119 pages) :$$billustrations (some color).
001449095 336__ $$atext$$btxt$$2rdacontent
001449095 337__ $$acomputer$$bc$$2rdamedia
001449095 338__ $$aonline resource$$bcr$$2rdacarrier
001449095 4901_ $$aLecture notes in networks and systems,$$x2367-3389 ;$$vvolume 533
001449095 500__ $$aIncludes author index.
001449095 5050_ $$aSparse weighted K-means for groups of mixed-type variables -- Fast parallel search of Best Matching Units in Self-Organizing Maps -- Neural networks for spatial models -- Machine Learning and Data-Driven Approaches in Spatial Statistics : a case study of housing price estimation -- Modification of the Classification-by-Component Predictor Using Dempster-Shafer-Theory -- Inferring epsilon-nets of Finite Sets in a RKHS -- Steps Forward to Quantum Learning Vector Quantization for Classification Learning on a Theoretical Quantum Computer -- Application of Kohonen Maps in Predicting and Characterizing VAT Fraud in Southern Mozambique -- Visual insights from the latent space of generative models for molecular design.
001449095 506__ $$aAccess limited to authorized users.
001449095 520__ $$aIn this collection, the reader can find recent advancements in self-organizing maps (SOMs) and learning vector quantization (LVQ), including progressive ideas on exploiting features of parallel computing. The collection is balanced in presenting novel theoretical contributions with applied results in traditional fields of SOMs, such as visualization problems and data analysis. Besides, the collection further includes less traditional deployments in trajectory clustering and recent results on exploiting quantum computation. The presented book is worth interest to data analysis and machine learning researchers and practitioners, specifically those interested in being updated with current developments in unsupervised learning, data visualization, and self-organization.
001449095 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 30, 2022).
001449095 650_0 $$aNeural networks (Computer science)$$vCongresses.
001449095 650_0 $$aSelf-organizing maps$$vCongresses.
001449095 650_0 $$aSelf-organizing systems$$vCongresses.
001449095 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001449095 655_0 $$aElectronic books.
001449095 7001_ $$aFaigl, Jan,$$eeditor.
001449095 7001_ $$aOlteanu, Madalina,$$eeditor.
001449095 7001_ $$aDrchal, Jan,$$eeditor.
001449095 7001_ $$aKohonen, Teuvo,$$ehonouree.
001449095 830_0 $$aLecture notes in networks and systems ;$$vv. 533.$$x2367-3389
001449095 852__ $$bebk
001449095 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-15444-7$$zOnline Access$$91397441.1
001449095 909CO $$ooai:library.usi.edu:1449095$$pGLOBAL_SET
001449095 980__ $$aBIB
001449095 980__ $$aEBOOK
001449095 982__ $$aEbook
001449095 983__ $$aOnline
001449095 994__ $$a92$$bISE